『徳島大学 教育・研究者情報データベース (EDB)』---[学外] /
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閲覧 閲覧 徳島大学 …(142)
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閲覧 近藤 正 : 特徴量の自己発生能力を備えたGMDHtypeニューラルネットワークによる医用画像認識, 計測自動制御学会第35回学術講演会予稿集, (巻), (号), 267-268, 1996年(0月)..[キーワード] ...
閲覧 近藤 正 : 特徴量の自己選択能力を備えた医用画像認識用ニューラルネットワーク, 第40回システム制御情報学会研究発表講演会講演論文集, (巻), (号), 31-32, 1996年(0月)..[キーワード] ...
閲覧 近藤 正 : GMDHニューラルネットワークアルゴリズムとその医用画像認識への応用, 計測自動制御学会第36回学術講演会予稿集, (巻), (号), 735-736, 1997年(0月)..[キーワード] ...
閲覧 近藤 正 : GMDH法によるX線CT画像を対象にした肝臓の画像認識, 第41回システム制御情報学会研究発表講演会講演論文集, (巻), (号), 469-470, 1997年(0月)..[キーワード] ...
閲覧 近藤 正 : GMDHニューラルネットワークの学習アルゴリズムとその肺野領域自動抽出問題への応用, 第42回システム制御情報学会研究発表講演会講演論文集, (巻), (号), 389-390, 1998年(0月)..[キーワード] ...
閲覧 Tadashi Kondo and Abhijit S. Pandya : GMDH-type Neural networks using the Radial Basis Function and their Application to the Medical Image Recognition of the Brain, Proceeding of the 39th SICE Annual Conference International Session Papers, (巻), No.313A-2, 1-6, (都市), July 2000..[キーワード] ...
閲覧 近藤 正 : ラジアルベース関数を用いるGMDH-typeニューラルネットワークスとその医用画像認識への応用, 第23回日本ME学会中国四国支部大会論文集, (巻), (号), 20, 2000年10月..[キーワード] ...
閲覧 近藤 正 : GMDH-typeニューラルネットワークスとその医用画像認識への応用, 第43回自動制御連合講演会前刷, (巻), (号), 185-186, 2000年11月..[キーワード] ...
閲覧 近藤 正 : RBFを用いたGMDH-typeニューラルネットワークスとその医用画像認識への応用, 第45回システム制御情報学会研究発表講演会講演論文集, (巻), (号), 537-538, 2001年5月..[キーワード] ...
閲覧 Tadashi Kondo : Revised GMDH-type neural networks with radial basis functions and their application to medical image recognition of stomach, Proceeding of the 15th European simulation multiconference, Modeling and simulation 2001,, (巻), (号), 673-679, (都市), June 2001..[キーワード] ...
閲覧 Tadashi Kondo and Abhijit S. Pandya : Medical image recognition by using GMDH-type neural networks with sigmoid functions, Proceedings of the international technical conference on circuits and systems, computers and communications, (巻), (号), 1118-1121, (都市), July 2001..[キーワード] ...
閲覧 Tadashi Kondo and Abhijit S. Pandya : Medical image recognition by using logistic GMDH-type neural networks, Proceedings of the 40th SICE annual conference, international session papers, (巻), No.313A-2, 1-6, (都市), July 2001..[キーワード] ...
閲覧 近藤 正 : ラジアルベース関数を用いる改良形GMDH-typeニューラルネットワークスによる医用画像認識, 電子情報通信学会技術研究報告, (巻), No.MBE2001-52, 57-62, 2001年7月..[キーワード] ...
閲覧 近藤 正 : RBFを用いた改良形GMDH-typeニューラルネットワークスによる胃X線画像の認識, 第46回システム制御情報学会研究発表講演会講演論文集, (巻), (号), 369-370, 2002年5月..[キーワード] ...
閲覧 Tadashi Kondo and Abhijit S. Pandya : Revised GMDH-type neural networks with a feedback loop and their application to the medical image recognition, Proceeding of the 9th International Conference on Neural Information Processing, (巻), No.1415, 1-6, (都市), Aug. 2002..[キーワード] ...
閲覧 近藤 正 : シグモイド関数を用いたGMDH-typeニューラルネットワークスによる医用画像認識, 第11 回計測自動制御学会中国支部学術講演会論文集, (巻), (号), 264-265, 2002年11月..[キーワード] ...
閲覧 近藤 正 : ロジスティックGMDH-type ニューラルネットワークスによる医用画像認識, 第47回システム制御情報学会研究発表講演会講演論文集, (巻), (号), 639-640, 2003年(0月)..[キーワード] ...
閲覧 Tadashi Kondo and Abhijit S. Pandya : Recognition of X-ray Images by Using Revised GMDH-type Neural Networks, Lecture Notes in Computer Science, Vol.2774, (号), 849-855, 2003..[キーワード] ...
閲覧 Tadashi Kondo and Abhijit S. Pandya : Modeling of X-ray CT Image by using Revised GMDH-type Neural Networks with Sigmoid Functions, Proc. of IEEE International Symposium on Computational Intelligence in Robotics and Automation, (巻), (号), 1180-1185, (都市), July 2003..[キーワード] ...
閲覧 近藤 正 : フィードバックループを持つ改良形GMDH-typeニューラルネットワークスによる医用画像認識, 電子情報通信学会技術研究報告, (巻), No.MBE2003-53, 55-58, 2003年7月..[キーワード] ...
閲覧 Tadashi Kondo and Abhijit S. Pandya : Recognition of X-ray CT images by using revised GMDH-type neural networks, Knowledge-based intelligent information engineering systems and allied technologies, (巻), (号), 849-855, (都市), Sep. 2003..[キーワード] ...
閲覧 Tadashi Kondo and A. S. Pandya : Knowledge-Based Intelligent Information and Engineering Systems 2003 (Eds.V.Palade et al.), pp.849-855, Springer-Verlag Berlin Heidelberg, Berlin, Sep. 2003..[キーワード] ...
閲覧 Tadashi Kondo : Revised GMDH-type neural networks with radial basis functions and their application to medical image recognition of stomach, Systems Analysis Modelling Simulation, Vol.43, No.10, 1363-1376, 2003..[キーワード] ...
閲覧 近藤 正 : シグモイド関数を用いた改良形GMDH-typeニューラルネットワークスによるX線CT画像のモデリング, 第46回自動制御連合講演会講演論文集, (巻), No.TA1-02-2, 17-18, 2003年11月..[キーワード] ...
閲覧 近藤 正 : 多層RBFネットワークスを同定する改良形GMDH-typeニューラルネットワークスによる医用画像認識, システム制御情報学会研究発表講演会論文集, (巻), (号), 443-444, 2004年5月..[キーワード] ...
閲覧 近藤 正 : 改良形GMDH-typeニューラルネットワークスによる多層RBFネットワークスの同定, 第48回システム制御情報学会研究発表講演会講演論文集, (巻), (号), 435-436, 2004年5月..[キーワード] ...
閲覧 Tadashi Kondo and A.S. Pandya : Knowledge-Based Intelligent Information and Engineering Systems 2004 (Eds.Mircea Gh. Negoita et al.), pp.1015-1059, Springer-Verlag Berlin Heidelberg, Berlin, Sep. 2004..[キーワード] ...
閲覧 Tadashi Kondo and Abhijit S. Pandya : Identification of the Radial Basis Function Networks by using the Multi-layered GMDH-type Neural Network Algorithm, Intelligent Engineering System through Artificial Neural Networks, Vol.14, (号), 131-136, 2004..[キーワード] ...
閲覧 Tadashi Kondo and Abhijit S. Pandya : Medical Image Recognition by using the Multi-layered GMDH-type Neural Networks with the Radial Basis Function, Intelligent Engineering System through Artificial Neural Networks, Vol.14, (号), 785-790, 2004..[キーワード] ...
閲覧 香川大学大学院, 中川 喜博 : 個人情報保護と情報の安全信頼性, (誌名), Vol.2005, No.4, 9-14, 2005年1月..[キーワード] ...
閲覧 近藤 正, 上野 淳二, 近藤 和也 : 最適なネットワーク構造を自己選択する改良形GMDH-typeニューラルネットワークによる医用画像認識, 第32回知能システムシンポジューム論文集, (巻), (号), 33-36, 2005年3月..[キーワード] ...
閲覧 Tadashi Kondo : Medical image recognition by using the revised GMDH-type neural networks self-selectiong the optimum neural network architecture, Proceedings of the first international conference on complex medical engineering CME2005, (巻), (号), 412-417, (都市), May 2005..[キーワード] ...
閲覧 香川大学大学院, 中川 喜博 : プライバシー工学の創生, (誌名), Vol.2005, No.4, 9-14, 2005年5月..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Kazuya Kondo : Revised GMDH-type Neural Networks using AIC or PSS Criterion and Their Application to the Medical Image Recognition, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.9, No.3, 257-267, 2005..[キーワード] ...
閲覧 近藤 正 : 最適なニューラルネットワーク構造の自己選択アルゴリズムによる医用画像認識, 電子情報通信学会技術研究報告MBE2005-39-55, Vol.105, No.222, 53-56, 2005年7月..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno, Kazuya Kondo and Abhijit S. Pandya : An application of self-selecting algorithm for optimum neural network architecture to medical image recognition, Proceeding of the 44th SICE annual conference, (巻), (号), 1657-1661, (都市), Aug. 2005..[キーワード] ...
閲覧 近藤 正 : ネットワーク構造の自己選択能力を備えた改良形GMDH-typeニューラルネットワークによる医用画像認識, 平成17年度電気関連学会四国支部連合大会講演論文集, (巻), (号), 294, 2005年9月..[キーワード] ...
閲覧 Tadashi Kondo : Revised GMDH-type Neural Network Algorithm with a Feedback Loop Identifying Sigmoid Function Neural Network, Abstracts of the 37th ISCIE international symposium on stochastic systems theory and its applications, (巻), (号), 54-55, (都市), Oct. 2005..[キーワード] ...
閲覧 Tadashi Kondo : Medical Image Recognition by Revised GMDH-type Neural Network Algorithm with a Feedback Loop Identifying Sigmoid Function Neural Network, Abstracts of the 37th ISCIE international symposium on stochastic systems theory and its applications, (巻), (号), 56-57, (都市), Oct. 2005..[キーワード] ...
閲覧 Tadashi Kondo and Junji Ueno : Three dimensional medical image recognition of lungs by revised GMDH-type neural network algorithm, International Journal of Computer Assisted Radiology and Surgery, Vol.1, (号), 364-366, 2006..[キーワード] ...
閲覧 Tadashi Kondo : Revised GMDH-type Neural Network Algorithm with a Feedback Loop Identifying Sigmoid Function Neural Network, Proceedings of the 37th ISCIE International Aymposium on Stochastic Systems Theory and Its Applications, (巻), (号), 137-142, (都市), June 2006..[キーワード] ...
閲覧 Tadashi Kondo : Medical Image Recognition by Revised GMDH-type Neural Network Algorithm with a Feedback Loop Identifying Sigmoid Function Neural Network, Proceedings of the 37th ISCIE International Symposium on Stochastic Systems Theory and Its Applications, (巻), (号), 143-148, (都市), June 2006..[キーワード] ...
閲覧 Tadashi Kondo : A New Algorithm of Multi-Layered Neural Network Using Heuristic Self-Organization, Proceedings of 17th International Symposium on Mathematical Theory of Networks and Systems, (巻), (号), 911-916, (都市), July 2006..[キーワード] ...
閲覧 Tadashi Kondo and Junji Ueno : Revised GMDH-type Neural Network Algorithm with a Feedback Loop Identifying Sigmoid Function Neural Network, International Journal of Innovative Computing, Information and Control, Vol.2, No.5, 985-996, 2006..[キーワード] ...
閲覧 Tadashi Kondo and Junji Ueno : Medical Image Recognition of the Brain by Revised GMDH-type Neural Network Algorithm with a Feedback Loop, International Journal of Innovative Computing, Information and Control, Vol.2, No.5, 1039-1052, 2006..[キーワード] ...
閲覧 Tadashi Kondo : A new multi-layered GMDH-type neural network self-selecting optimum neural network architecture, Abstract of the 38th International Symposium on Stochastic Systems Theory and Its Applications, 17-18, Suwa, Nov. 2006..[キーワード] ...
閲覧 Tadashi Kondo : Three-dimensional medical image recognition of blood vessels by multi-layered GMDH-type neural network self-selecting optimum neural network architecture, Abstract of the 38th International Symposium on Stochastic Systems Theory and Its Applications, 19-20, Suwa, Nov. 2006..[キーワード] ...
閲覧 Tadashi Kondo and Junji Ueno : Feedback GMDH-type neural network algorithm self-selecting optimum neural network architecture, Proceedings of International Symposium on Artificial Life and Robotics, (巻), No.GS21-4, 1-4, (都市), Jan. 2007..[キーワード] ...
閲覧 Tadashi Kondo and Junji Ueno : Three dimensional medical image recognition of the brain by feedback GMDH-type neural network self-selecting optimum neural network architecture, Proceedings of International Symposium on Artificial Life and Robotics, (巻), No.GS20-2, 1-4, (都市), Jan. 2007..[キーワード] ...
閲覧 Matuki Takaomi, Tadashi Kondo and Junji Ueno : Three dimensional medical image recognition of the lungs using artificial neural network, Proceedings of International Symposium on Artificial Life and Robotics, (巻), No.PS3, 1-2, (都市), Jan. 2007..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Pandya S. Abhijit : Multi-layered GMDH-type Neural Network with Radial Basis Functions and Its Application to the 3-dimensional Medical Image Recognition of the Liver, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.11, No.1, 96-104, 2007..[キーワード] ...
閲覧 Tadashi Kondo and Junji Ueno : Logistic GMDH-type Neural Network and Its Application to the Identification of the X-ray Film Characteristic Curve, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.11, No.3, 312-318, 2007..[キーワード] ...
閲覧 Tadashi Kondo : Three-Dimensional medical Image Recognition of Blood Vessels by Multi-Layered GMDH-Type Neural Network Self-Selecting Optimum Neural Network Archtecture, Proceedings of the 38th ISCIE international symposium on stochastic sytems theory and its applications, (巻), (号), 46-51, (都市), June 2007..[キーワード] ...
閲覧 Tadashi Kondo, Abhijit S. Pandya and Hirofumi Nagashino : GMDH-type Neural Network Algorithm with a Feedback Loop for Structural Identification of RBF Neural Network, International Journal of Knowlrge-based and Intelligent Engineering Systems, Vol.11, No.3, 157-168, 2007..[キーワード] ...
閲覧 Tadashi Kondo and Junji Ueno : Medical Image Recognition of Abdominal X-ray CT Images by RBF GMDH-type Neural Network, Proceedings of SICE annual Conference 2007, (巻), (号), 1112-1116, (都市), Sep. 2007..[キーワード] ...
閲覧 Matuki Takaomi, Kudo Tsuyoshi, Tadashi Kondo and Junji Ueno : Three dimensional medical images of the lungs and brain recognized by artificial neural networks, Proceedings of SICE annual Conference 2007, (巻), (号), 1117-1121, (都市), Sep. 2007..[キーワード] ...
閲覧 Tadashi Kondo and Junji Ueno : Multi-Layered GMDH-type Neural Network Self-selecting Optimum Neural Network Atcbitrcture and Its Application to Nonlinear System Identification, Proceedings of international Workshop on Inductive Modeling 2007, (巻), (号), 55-62, (都市), Sep. 2007..[キーワード] ...
閲覧 Tadashi Kondo and Junji Ueno : Feedback GMDH-type Neural Network Self-Selecting Optimum Neural Network Architecture and Its Application to 3-Dimensional medical Image Recognition of the Lungs, Proceedings of international Workshop on Inductive Modeling 2007, (巻), (号), 63-70, (都市), Sep. 2007..[キーワード] ...
閲覧 Tadashi Kondo and Junji Ueno : Medical image recognition of abdominal organs by RBF GMDH-type neural network, Abstract of the 39th ISCIE International Symposium on Stochastic Systems Theory and Applications, 56-57, SAGA, Nov. 2007..[キーワード] ...
閲覧 Takaomi Matuki, Tadashi Kondo, Tsuyosi Kudo, Atusi Itami and Masahiro Nakagawa : Recognition of 3-dimensional medical images of the lungs, pulmonary vessels and bronchial trees by artificial neural networks, Abstract of the 39th ISCIE International Symposium on Stochastic Systems Theory and Its Applications, 70-71, SAGA, Nov. 2007..[キーワード] ...
閲覧 Tsuyosi Kudo, Tadashi Kondo, Takaomi Matuki, Atusi Itami and Masahiro Nakagawa : Recognition of 3-dimensional medical images of the head by radial basis function (RBF) neural network, Abstracts of the 39th ISCIE International symposium on Stochastic Systems Theory and Its Applications, 72-73, SAGA, Nov. 2007..[キーワード] ...
閲覧 Tadashi Kondo : Neural Information Processing (Eds. M.IshiKawa et al.), pp.882-891, Springer-Verlag Berlin Heidelberg, Berlin, Jan. 2008..[キーワード] ...
閲覧 Tadashi Kondo and Junji Ueno : Multi-Layered GMDH-type Neural Network Self-Selecting Optimum Neural Network Architecture and Its Application to 3-Dimensional Medical Image Recognition of Blood Vessels, International Journal of Innovative Computing, Information and Control, Vol.4, No.1, 175-187, 2008..[キーワード] ...
閲覧 Tadashi Kondo : Nonlinear Pattern Identification by Multi-Layered GMDH-type Neural Network Self-Selecting Optimum Neural Network Architecture, Neural Information processing, (巻), (号), 882-891, 2008..[キーワード] ...
閲覧 Tadashi Kondo and Junji Ueno : Medical Image Recognition of Abdominal Organs by RBF GMDH-type Neural Network, Proceedings of the 39th ISCIE International Symposium In Stochastic Systems Theory and Its Applications, (巻), (号), 177-182, (都市), June 2008..[キーワード] ...
閲覧 Tsuyosi Kudo, Tadashi Kondo, Takaomi Matuki, Atusi Itami, Masahiro Nakagawa and Yusuke Matumura : Recognition of 3-dimensional medical images of the head by radial basis function (RBF) neural network, Proceedings of the 39th ISCIE International Symposium In Stochastic Systems Theory and Its Applications, (巻), (号), 207-212, (都市), June 2008..[キーワード] ...
閲覧 Takaomi Matuki, Tadashi Kondo, Tsuyosi Kudo, Atusi Itami, Masahiro Nakagawa and Yusuke Matumura : Recognition of 3-dimensional medical images of the lungs, pulmonary vessels andf bronchial trees by artificial neural networks, Proceedings of the 39th ISCIE International Symposimum In Stochastic Systems Theory and Its Applications, (巻), (号), 201-206, (都市), June 2008..[キーワード] ...
閲覧 Tadashi Kondo : Feedback GMDH-type neural network using prediction error criterion and its application to 3-dimensional medical image recognition, SICE Annual Conference 2008, (巻), (号), 1050-1055, (都市), Aug. 2008..[キーワード] ...
閲覧 Masahiro Nakagawa, Tadashi Kondo, Tsuyoshi Kudo and Junji Ueno : Three-dimensional medical image recognition of cancer of the liver by artificial neural network, Abstracts of the 40th ISCIE International Symposium on Stochastic Systems Theory and Its Applications, (巻), (号), 87-88, (都市), Nov. 2008..[キーワード] ...
閲覧 Tadashi Kondo and Junji Ueno : Revised GMDH-type neural network algorithm for medical image recognition and its application to 3-demensional medical image analysis of the heart, Abstracts of the 40th ISCIE International Symposium on Stochastic Systems Theory and Its Applications, (巻), (号), 41-42, (都市), Nov. 2008..[キーワード] ...
閲覧 Tsuyoshi Kudo, Tadashi Kondo, Masahiro Nakagawa and Junji Ueno : Medical image recognition of the white and gray matters of the brain by radial basis function (RBF) neural network, Abstracs of the 40th ISCIE International Symposium on Stochastic Systems Theory and Its Applications, (巻), (号), 19-20, (都市), Nov. 2008..[キーワード] ...
閲覧 Tadashi Kondo and Junji Ueno : Medical image recognition of abdominal multi-organs by RBF GMDH-type neural network, International Journal of Innovative Computing, Information and Control, Vol.5, No.1, 225-240, 2009..[キーワード] ...
閲覧 Chihiro Kondo and Tadashi Kondo : Three-dimensional medical image analysis of the heart by the revised GMDH-type neural network self-selecting optimum neural network architecture, The Fourteenth International Symposium on Artificial Life and Robotics 2009, (巻), (号), 397-400, (都市), Feb. 2009..[キーワード] ...
閲覧 Masahiro Nakagawa, Tadashi Kondo, Tsuyosi Kudo, Shoichiro Takao and Junji Ueno : Three-dimensional medical image recognition of cancer of the liver by the revised radial basis function (RBF) neural network algorithm, The Fourteenth International Symposium on Artificial Life and Robotics 2009, (巻), (号), 385-388, (都市), Feb. 2009..[キーワード] ...
閲覧 近藤 正 : 最適なネットワーク構造の自己選択機能を備えたフィードバックGMDH-typeニューラルネットワークによる心臓領域の3次元医用画像認識, 平成21年電気学会電子情報システム部門大会講演論文集, (巻), (号), 1245-1250, 2009年3月..[キーワード] ...
閲覧 Tadashi Kondo and Junji Ueno : Revised GMDH-type neural network algorithm for medical image recognition and its application to 3-dimensional medical image analysis of the heart, Proceedings of the 40th ISCIE International Symposium on Stochastic Systems Theory and Its Applications, (巻), (号), 148-153, (都市), June 2009..[キーワード] ...
閲覧 Masahiro Nakagawa, Tadashi Kondo, Tsuyosi Kudo, Shoichiro Takao and Junji Ueno : Three-dimensional medical image recognition of the cancer of the liver by artificial neural network, Proceedings of the 40th ISCIE International Symposium on Stochastic Systems Theory and Its Applications, (巻), (号), 171-175, (都市), June 2009..[キーワード] ...
閲覧 Tsuyosi Kudo, Tadashi Kondo, Masahiro Nakagawa and Junji Ueno : Medical image recognition of the white and gray matters of the brain by radial basis function (RBF) neural network, Proceedings of the 40th ISCIE International Symposium on Stochastic Systems Theory and Its Applications, (巻), (号), 259-263, (都市), June 2009..[キーワード] ...
閲覧 近藤 正 : 医用画像解析のためのフィードバックGMDH-typeニューラルネットワークアルゴリズムと心臓のマルチスライスCT画像解析, 電子情報通信学会技術研究報告, Vol.MBE2009, (号), 1-6, 2009年7月..[キーワード] ...
閲覧 近藤 正, 上野 淳二 : 最適なネットワーク構造の自己選択能力を備えた改良形GMDH-typeニューラルネットワークと心臓領域の3次元医用画像認識への応用, 電子情報通信学会技術研究報告, Vol.MI2009, No.50, 57-62, 2009年7月..[キーワード] ...
閲覧 Chihiro Kondo and Tadashi Kondo : Three-dimensional medical image recognition of the heart by revised GMDH-type neural network algorithm, ICROS-SICE International Joint Conference 2009, (巻), (号), 2504-2509, (都市), Aug. 2009..[キーワード] ...
閲覧 Tadashi Kondo, Masahiro Nakagawa, Shoichiro Takao and Junji Ueno : Medical image recognition of cancer of the liver by GMDH-type neural network, Abstract of the 41st ISCIE International Symposium on Stochastic Systems Theory and Its Applications, (巻), (号), 39-40, (都市), Nov. 2009..[キーワード] ...
閲覧 Masahiro Nakagawa, Tadashi Kondo, Shoichiro Takao and Junji Ueno : 3-dimensional medical image recognition of the lung by the revised radial basis function (RBF) neural network algorithm, Abstracts of the 41st ISCIE International Symposium on Stochastic Systems Theory and Its Applications, (巻), (号), 37-38, (都市), Nov. 2009..[キーワード] ...
閲覧 中川 雅博, 近藤 正, 髙尾 正一郎, 上野 淳二 : 改良形RBFネットワークを用いた肺野領域の画像認識, 中四国放射線医療技術, (巻), No.5, 168, 2009年11月..[キーワード] ...
閲覧 Chihiro Kondo, Tadashi Kondo and Junji Ueno : Three-dimensional medical image analysis of the heart by the revised GMDH-type neural network self-selecting optimum nrural network architecture, Artificial Life and Robotics, Vol.14, No.2, 123-128, 2009..[キーワード] ...
閲覧 Masahiro Nakagawa, Tadashi Kondo, Kudo Tsuyosi, Shoichiro Takao and Junji Ueno : Three-dimensional medical image recognition of the cancer of the liver by a revised radial basis function (RBF) neural network algorithm, Artificial Life and Robotics, Vol.14, No.2, 118-122, 2009..[キーワード] ...
閲覧 Chihiro Kondo and Tadashi Kondo : Revised GMDH-type neural network algorithm self-selecting optimum neural network architecture, Artificial Life and Robotics, Vol.14, No.4, 519-523, 2009..[キーワード] ...
閲覧 Chihiro Kondo, Tadashi Kondo and Junji Ueno : Feedback GMDH-type neural network algorithm and its application to medical image analysis of cancer of the liver, The Fifteenth International Symposium on Artificial Life and Robotics 2010, 790-793, Beppu, Feb. 2010..[キーワード] ...
閲覧 Chihiro Kondo and Tadashi Kondo : Learning algorithm of the revised RBF network and its application to the media art system, The Fifteenth International Symposium on Artificial Life and Robotics 2010, 786-789, Beppu, Feb. 2010..[キーワード] ...
閲覧 近藤 正, 上野 淳二 : 改良形GMDH-typeニューラルネットワークによる肝がんの医用画像診断, 第37回知能システムシンポジューム, (巻), (号), 135-140, 2010年3月..[キーワード] ...
閲覧 Masahiro Nakagawa, Tadashi Kondo, Shoichiro Takao and Junji Ueno : Three-dimensional medical image recognition of the lung by the revised radial basis function (RBF) network algorithm, Proceedings of the 41th ISCIE International Symposium on Stochastic Systems Theory and Its Applications, 75-80, Kobe, June 2010..[キーワード] ...
閲覧 Tadashi Kondo, Masahiro Nakagawa, Shoichiro Takao and Junji Ueno : Medical image recognition of cancer of the liver by GMDH-type neural network, Proceedings of the 41th International Symposium on Stochastic Systems Theory and Its Applications, 81-86, Kobe, June 2010..[キーワード] ...
閲覧 近藤 正, 上野 淳二, 髙尾 正一郎 : 改良形GMDH-typeニューラルネットワークを用いた肝臓癌の医用画像診断, 電子情報通信学会技術研究報告, Vol.MI2010-42, (号), 27-32, 2010年7月..[キーワード] ...
閲覧 近藤 正, 上野 淳二, 髙尾 正一郎 : 人工知能を用いた肝臓癌の医用画像診断, Proceedings of JAMIT2010, (巻), No.OP4-5, 1-10, 2010年7月..[キーワード] ...
閲覧 Tadashi Kondo and Junji Ueno : Nonliear system identification by feedback GMDH-type neural network with architecture self-selecting function, Proceedings of 2010IEEE Multi-Conference on System and Control, 1521-1526, Yokohama, Sep. 2010..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of liver cancer using neural natwork and artificial intelligence, Proceedings of the 2010 International Symposium on Intelligent Systems, No.S6-8-3, 1-6, Tokyo, Sep. 2010..[キーワード] ...
閲覧 近藤 正 : 人工知能を用いた医用画像診断支援システムの開発, 計測自動制御学会四国支部学術講演会論文集, No.241, 1-2, 2010年11月..[キーワード] ...
閲覧 Tadashi Kondo and Junji Ueno : Feedback GMDH-type neural network and its application to medical image analysis of the liver cancer, Abstracts of the 42th ISCIE international symposium on stochastic systems theory and its applications, 81-82, Okayama, Nov. 2010..[キーワード] ...
閲覧 Tadashi Kondo, Chihiro Kondo, Shoichiro Takao and Junji Ueno : Feedback GMDH-type neural network algorithm and its application to medical image analysis of cancer of the liver, Artificial Life and Robotics, Vol.15, No.3, 264-269, 2010..[キーワード] ...
閲覧 Tadashi Kondo and Junji Ueno : Medical image diagnosis of liver cancer using multi-layered GMDH-type neural network, Proceedings of Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems, 446-451, Okayama, Dec. 2010..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of liver cancer by revised GMDH-type neural network using knowledge base, Proceedings of International Forum on Medical Imaging in Asia 2011, 1-7, Naha, Jan. 2011..[キーワード] ...
閲覧 Tadashi Kondo and Junji Ueno : Medical image diagnosis of lung cancer by revised GMDH-type neural network using various kinds of neurons, Proceedings of the sixteenth International Symposium on Artificial Life and Robotics 2011, 866-869, Beppu, Jan. 2011..[キーワード] ...
閲覧 Tadashi Kondo : Revised GMDH-type neural network using artificial intelligence and Its application to medical image diagnosis, Proceedings of 2011 IEEE Symposium Series on Computational Intelligence, 76-83, PARIS, FRANCE, April 2011..[キーワード] ...
閲覧 Tadashi Kondo and Junji Ueno : Fedback GMDH-type neural network and Its application to medical image analysis of liver cancer, Proceedings of the 42th ISCIE Inernational Symposium on Stochastic Systems Theory and Its Applications, 256-263, Okayama, June 2011..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of liver cancer using a neural network and artificial intelligence, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.15, No.6, 714-722, 2011..[キーワード] ...
閲覧 近藤 正 : ネットワーク構造の自己組織化を行う改良形GMDH-typeニューラルネットワークによる肺癌の医用画像診断, 電子情報通信学会技術研究報告, Vol.111, No.121, 1-6, 2011年7月..[キーワード] ...
閲覧 近藤 正 : フィードバックGMDH-typeニューラルネットワークによる肝臓癌の医用画像診断, 電子情報通信学会技術研究報告, Vol.111, No.121, 7-12, 2011年7月..[キーワード] ...
閲覧 Tadashi Kondo and Junji Ueno : Revised GMDH-type neural network using principal component-regression analysis, Proceedings of SICE annual conference 2011, 1248-1253, Tokyo, Sep. 2011..[キーワード] ...
閲覧 Tadashi Kondo and Junji Ueno : Medical image diagnosis of lung cancer by revised GMDH-type neural network using heuristic self-organization, Proceedings of SICE annual concerence 2011, 1254-1259, Tokyo, Sep. 2011..[キーワード] ...
閲覧 Tadashi Kondo and Junji Ueno : A New Multi-layered GMDH-type Neural Network Algorithm Using Principal Component-Regression Analysis, Abstracts of the 43rd ISCIE international sysmposium on Stochastic systems theory and its applications, 30-31, Shiga, Oct. 2011..[キーワード] ...
閲覧 Tadashi Kondo and Junji Ueno : Medical Image Diagnosis of Liver Cancer by Multi-layered GMDH-type Neural Network Using Artificial Intelligence Technology, Abstracts of the 43rd ISCIE international symposium on stochastic systems theory and its applications, 32-33, Shiga, Oct. 2011..[キーワード] ...
閲覧 近藤 正 : 知識ベースを備えた多層型GMDH-typeニューラルネットワークによる肝臓癌の医用画像診断, 第34回日本生体医工学会中四国支部講演抄録, (巻), (号), 1, 2011年11月..[キーワード] ...
閲覧 近藤 正 : ネットワーク構造の自己選択を行うフィードバックGMDH-typeニューラルネットワークによる肺癌の医用画像診断, 第34回日本生体医工学会中四国支部講演抄録, 2, 2011年11月..[キーワード] ...
閲覧 Tadashi Kondo and Junji Ueno : Medical image diagnosis of lung cancer by revised GMDH-type neural network using various kinds of neurons, Artificial Life and Robotics, Vol.16, No.3, 301-306, 2011..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of lung cancer by revised GMDH-type neural network self-selecting optimum neuron architectuers, Proceedings of 2011 IEEE/SICE International Symposium on System Integration, 1107-1112, Kyoto, Dec. 2011..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Hybrid GMDH-type neural network using artificial intelligence and its application to medical image diagnosis of liver cancer, Proceedings of 2011 IEEE/SICE International Symposium on System Integration, 1101-1106, Kyoto, Dec. 2011..[キーワード] ...
閲覧 近藤 正, 上野 淳二, 髙尾 正一郎 : ニューロン構造の自己選択機能を備えたフィードバックGMDH-typeニューラルネットワークによる肺癌の医用画像診断, 電子情報通信学会技術研究報告, Vol.KBSE2011-54, (号), 7-12, 2012年1月..[キーワード] ...
閲覧 近藤 正, 上野 淳二, 髙尾 正一郎 : 人工知能技術を用いた多層型GMDH-typeニューラルネットワークによる肝臓癌の医用画像診断, 電子情報通信学会技術研究報告, Vol.KBSE2011-53, 1-6, 2012年1月..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of liver cancer by feedback GMDH-type neural network using knowlege base, Proceedings of the seventeenth International Symposium on Artificial Life and Robotics 2012, 1021-1024, Beppu, Jan. 2012..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of lung cancer by multi-layered GMDH-type neural network self-selecting functions, Proceedings of the seventeenth International Symposium on Artificial Life and Robotics 2012, 1009-1012, Beppu, Jan. 2012..[キーワード] ...
閲覧 Tadashi Kondo and Junji Ueno : Feedback GMDH-type Neural Network and Its Application to Medical Image Analysis of Liver Cancer, International Journal of Innovative Computing, Information and Control, Vol.8, No.3, 2285-2300, 2012..[キーワード] ...
閲覧 Tadashi Kondo and Junji Ueno : Medical Image Diagnosis of Lung Cancer by Feedback GMDH-type Neural Network Self-selecting Neural Network Architectuer, ICIC Express Letters (ICIC-EL), Vol.6, No.3, 783-790, 2012..[キーワード] ...
閲覧 Tadashi Kondo and Junji Ueno : Medical Image Diagnosis of Liver Cancer by Multi-layered GMDH-type Neural Network Using Knowlege Base, ICIC Express Letters (ICIC-EL), Vol.6, No.4, 863-870, 2012..[キーワード] ...
閲覧 近藤 正, 上野 淳二, 髙尾 正一郎 : 多層型人工ニューラルネットワーク構造の自己組織化機能を備えた改良形GMDH-typeニューラルネットワークによる肺癌の医用画像診断, 電子情報通信学会技術研究報告, Vol.IE2012-1, 1-6, 2012年4月..[キーワード] ...
閲覧 近藤 正, 上野 淳二, 髙尾 正一郎 : 予測誤差評価基準にAICを用いる改良形GMDH-typeニューラルネットワークアルゴリズム, 電子情報通信学会技術研究報告, Vol.KBSE2012-9, 49-54, 2012年5月..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Feedback GMDH-type neural network algorithm using prediction error criterion defined as AIC, Proceedings of the 4th international conference on intelligent decision technologies, (巻), (号), 313-322, Gifu, May 2012..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of liver cancer by multi-layered GMDH-type neural network using artificial intelligence technology, Proceedings of the 43th ISCIE International Symposium on Stochastic Systems Theory and its Applications, 1-6, Shiga, July 2012..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : A new multi-layered GMDH-type neural network algorithm using principal component-regression analysis, Proceedings of the 43th ISCIE International Symposium on Stochastic Systems Theory and Its Applications, 1-6, Shiga, July 2012..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of lung cancer by hybrid multi-layered GMDH-type neural network using knowlege base, Proceedings of the 2012 International Conference on Complex Medical Engineering, (巻), (号), 663-668, Kobe, July 2012..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Feedback GMDH-type neural network self-selecting various functions and its application to medical image diagnosis of lung cancer, Proceedings of 13th ACIS international conference on sofutware engineering, artificial intelligence, networking and parallel distrivuted computing (SNPD2012), (巻), (号), 203-208, Kyoto, Aug. 2012..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of liver cancer by revised GMDH-type neural network using feedback loop calculation, Proceedings of 2012 sixth international conference on genetic and evolutionary computing, (巻), (号), 237-240, Kitakyushu, Aug. 2012..[キーワード] ...
閲覧 近藤 正, 上野 淳二, 髙尾 正一郎 : 発見的自己組織化の原理を用いてニューラルネットワーク構造を自己組織化する改良形GMDH-typeニューラルネットワークによる肝臓癌の医用画像診断, 電子情報通信学会技術研究報告, Vol.PRMU2012-32, 17-22, 2012年9月..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Multi-layered GMDH-type neural network algorithm using principal component-regression analysis and PSS criterion, Abstracts of the 44th ISCIE international symposium on stochastic systems theory and its applications, (巻), (号), 73-74, Tokyo, Nov. 2012..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of liver cancer by multi-layered GMDH-type neural network using principal component-regression analysis and PSS criterion, Abstracts of the 44th ISCIE international sysmposium on stochastic systems theory and its applications, (巻), (号), 119-120, Tokyo, Nov. 2012..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Hybrid multi-layered GMDH-type neural network self-selecting various neurons and its application to medical image diagnosis of liver cancer, Proceedings of international conference SCIS-ISIS 2012, (巻), (号), 1919-1924, Kobe, Nov. 2012..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Hybrid feedback GMDH-type neural network self-selecting various neurons and its application to medical image diagnosis of lung cancer, Proceedings of international conference SCIS-ISIS 2012, (巻), (号), 1925-1930, Kobe, Nov. 2012..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of liver cancer by feedback GMDH-type neural network using knowlege base, Artificial Life and Robotics, Vol.17, No.3-4, 488-494, 2012..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of liver cancer by hybrid feedback GMDH-type neural network using heuristic self-organization, ASE Science Journal, Vol.1, (号), 12-21, 2012..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Hybrid multi-layered GMDH-type neural network using principal component-regression analysis and its application to medical image diagnosis of lung cancer, Proceedings of 2012 ASE International Conference on BioMedical Computing, (巻), (号), 575-582, Washington D. C., Dec. 2012..[キーワード] ...
閲覧 近藤 正, 上野 淳二, 髙尾 正一郎 : 予測誤差評価基準に予測誤差平方和(PSS)を用いる多層構造型GMDH-typeニューラルネットワークアルゴリズムとその非線形システム同定への応用, 電子情報通信学会技術研究報告, Vol.KBSE2012-64, 35-40, 2013年1月..[キーワード] ...
閲覧 河野 文昭, 日野出 大輔, 白山 靖彦 : フィンランドの医療・福祉分野におけるICTの活用, 四国歯学会雑誌, Vol.25, No.2, 89-92, 2013年2月..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of lung cancer by multi-layered GMDH-type neural network self-selecting functions, Artificial Life and Robotics, Vol.18, No.1-2, 20-26, 2013..[キーワード] ...
閲覧 近藤 正, 上野 淳二, 髙尾 正一郎 : 予測誤差評価基準に予測誤差平方和(PSS)を用いる多層構造型GMDH-typeニューラルネットワークとその肝臓癌の医用画像診断への応用, 電子情報通信学会技術研究報告, Vol.IE2013-7, 35-40, 2013年4月..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of liver cancer by multi-layered GMDH-type neural network using principal component-regression analysis and PSS criterion, Proceedings of the 44th ISCIE International Symposium on Stochastic Systems Theory and Its Applications, 255-262, Tokyo, June 2013..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Multi-layered GMDH-type neural network algorithm using principal component-regression analysis and PSS criterion, Proceedings of the 44th ISCIE International Symposium on Stochastic Systems Theory and Its Applications, 273-278, Tokyo, June 2013..[キーワード] ...
閲覧 近藤 正, 上野 淳二, 髙尾 正一郎 : 人工知能技術を用いたX線CT画像を対象にした医用画像診断支援システム, 電子情報通信学会技術研究報告, Vol.IBISML2013-11, 75-80, 2013年7月..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of liver cancer by RBF GMDH-type neural network using principal component-regression analysis, Proceedings of the eighth international conference of the innovative computing, information and control (ICICIC2013), 1-8, Kumamoto, Sep. 2013..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Hybrid feedback GMDH-type neural network using principal component-regression analysis and its application to medical image diagnosis of lung cancer, Proceedings of the eighth international conference of the innovative computing, information and control (ICICIC2013), 1-8, Kumamoto, Sep. 2013..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Hybrid multi-layered GMDH-type neural network using principal component regression analysis and its application to medical image diagnosis of liver cancer, Proceedings of 17th international conference in knowledge based and intelligent information and engineering systems, 39-48, Kitakyushu, Sep. 2013..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Hybrid multi-layered GMDH-type neural network using principal component regression analysis and its application to medical image diagnosis of liver cancer, Procedia Computer Science, Vol.22, 172-181, 2013..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Feedback RBF GMDH-type neural network using principal component-regression analysis and its application to medical image diagnosis of lung cancer, Proceedings of the first international symposium on computing and networking, 155-161, Matsuyama, Dec. 2013..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of liver cancer by hybrid feedback GMDH-type neural network using principal component-regression analysis, Proceedings of the nineteenth international symposium on artificial life and robotics, 339-342, Beppu, Jan. 2014..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Logistic GMDH-type neural network using principal component-regression analysis and its application to medical image diagnosis of lung cancer, Proceedings of the nineteenth international symposium on artificial life and robotics, 335-338, Beppu, Jan. 2014..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of liver cancer by RBF GMDH-type neural network using principal component-regression analysis, ICIC Express Letters, Vol.8, No.3, 1-8, 2014..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Hybrid feedback GMDH-type neural network using principal component-regression analysis and its application to medical image diagnosis of lung cancer, ICIC Express Letters, Vol.8, No.4, 1053-1060, 2014..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Hybrid feedback GMDH-type neural network using principal component-regression analysis and its application to medical image recognition of heart regions, Proceedings of inetrnational conference of SCIS and ISIS 2014, 1203-1208, kitakyushu, Dec. 2014..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image recognition of abdominal multi-organs by hybrid multi-layered GMDH-type neural network using principal component-regression analysis, Proceedings of 2014 second international symposium on computing and networking, 157-163, Matuyama, Dec. 2014..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Deep feedback GMDH-type neural network using principal component-regression analysis and its application to medical image recognition of abdominal multi-organs, The proceedings of international conference on artificial life and robotics (ICAROB 2015), 119-122, Oita, Jan. 2015..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image recognition of heart regions by deep multi-layered GMDH-type neural network using principal component-regression analysis, The proceedings of international conference on artificial life and robotics (ICAROB 2015), 115-118, Oita, Jan. 2015..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Deep multi-layered GMDH-type neural network using principal component-regression analysis and its application to medical image recognition of brain and blood vessels, Proceedings of the twentieth international symposium on aritificial life and robotics 2015, 92-95, Beppu, Jan. 2015..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of kidney regions by deep feedback GMDH-type neural network using principal component-regression analysis, Proceedings of the twentieth international symposium on artificial life and robotics 2015, 424-427, Beppu, Jan. 2015..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Logistic GMDH-type neural network using principal component-regression analysis and its application to medical image diagnosis of lung cancer, Artificial Life and Robotics, Vol.20, No.2, 137-144, 2015..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Deep feedback GMDH-type neural network using principal component-regression analysis and its application to medical image recognition of abdominal multi-organs, Journal of Robotics Networking and Artificial Life, Vol.2, No.2, 94-99, 2015..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of liver cancer by hybrid feedback GMDH-type neural network using principal component-regression analysis, Artificial Life and Robotics, Vol.20, No.2, 145-151, 2015..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image analysis of MRI brain images by deep RBF GMDH-type neural network using principal component-regression analysis, Proceedings of 2015 IIAI 4th international congress on advanced informatics, 586-592, Okayama, July 2015..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image recognition of heart regions by deep multi-layered GMDH-type neural network using principal component-regression analysis, Journal of Robotics Networking and Artificial Life, Vol.2, No.3, 166-172, 2015..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : The 3-dimensional medical image recognition of right and left kidneys by deep GMDH-type neural network, Journal of Bioinformatics and Neuroscience, Vol.1, No.1, 14-23, 2015..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : The 3-dimensional medical image recognition of right and left kidneys by deep GMDH-type neural network, Proceedings of International Conference on Intelligent Informatics and Biomedical Sciences, (巻), (号), 313-320, Okinawa, Dec. 2015..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Deep feedback GMDH-type neural network and its application to medical image analysis of MRI brain images, Proceedings of the Twenty-First International Symposium on Artificial Life and Robotics (AROB 21st 2016), (巻), (号), 233-236, Beppu, Jan. 2016..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image analysis of abdominal X-ray CT images by deep multi-layered GMDH-type neural network, Proceedings of the Twenty-First International Symposium on Artificial Life and Robotics (AROB 21st 2016), (巻), (号), 237-240, Beppu, Jan. 2016..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of lung cancer by deep feedback GMDH-type neural network, The proceedings of the 2016 International Conference on Artificial Life and Robotics (ICAROB 2016), (巻), (号), 125-129, Okinawa, Jan. 2016..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image analysis of brain X-ray CT images by deep GMDH-type neural network, The proceedings of the 2016 International Conference on Artificial Life and Robotics (ICAROB 2016), (巻), (号), 120-124, Okinawa, Jan. 2016..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of lung cancer by deep feedback GMDH-type neural network, Journal of Robotics Networking and Artificial Life, Vol.2, No.4, 252-257, 2016..[キーワード] ...
閲覧 Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image analysis of brain X-ray CT images by deep GMDH-type neural network, Journal of Robotics Networking and Artificial Life, Vol.3, No.1, 17-23, 2016..[キーワード] ...
閲覧 Tadashi Kondo, Sayaka Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of kidney regions by deep feedback GMDH-type neural network using principal component-regression analysis, Artificial Life and Robotics, Vol.22, No.1, 1-9, 2017..[キーワード] ...
閲覧 Tadashi Kondo, Sayaka Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of lung cancer by deep logistic GMDH-type neural network using revised heuristic self-organization, Proceedings of the Twenty-Second International Symposium on Artificial Life and Robotics(AROB 22st 2017), (巻), (号), (頁), Beppu, Jan. 2017..[キーワード] ...
閲覧 Tadashi Kondo, Sayaka Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of liver cancer by deep multi-layered GMDH-type neural network using revised heuristic self-organization, Proceedings of the Twenty-Second International Symposium on Artificial Life and Robotics(AROB 22st 2017), (巻), (号), (頁), Beppu, Jan. 2017..[キーワード] ...
閲覧 髙尾 正一郎, 近藤 明佳, 上野 淳二, 近藤 正 : ディープ多層構造型GMDH-typeニューラルネットワークを用いた肺がんの医用画像診断, 第31回人工知能学会全国大会論文集, No.2J4-2in1, 1-4, 2017年6月..[キーワード] ...
閲覧 髙尾 正一郎, 近藤 明佳, 上野 淳二, 近藤 正 : ディープ多層構造型GMDH-typeニューラルネットワークを用いた肝臓がんの医用画像診断, 医療情報学会・人工知能学会AIM合同研究会資料SIG-AIMED-004-03, No.004-03, 1-6, 2017年11月..[キーワード] ...
閲覧 Shoichiro Takao, Sayaka Kondo, Junji Ueno and Tadashi Kondo : Deep multi-layered GMDH-type neural network using revised heuristic self-organization and its application to medical image diagnosis of liver cancer, Artificial Life and Robotics, Vol.23, No.1, 48-59, 2018..[キーワード] ...
閲覧 Shoichiro Takao, Sayaka Kondo, Junji Ueno and Tadashi Kondo : Hybrid deep neural network of deep multi-layered GMDH-type neural network and convolutional neural network and its application to medical image recognition of spleen regions, Proceedings of the Twenty-Third International Symposium on Artificial Life and Robotics(AROB 23nd 2018), Beppu, Jan. 2018..[キーワード] ...
閲覧 Shoichiro Takao, Sayaka Kondo, Junji Ueno and Tadashi Kondo : Medical image diagnosis of liver cancer by hybrid deep neural network of deep logistic GMDH-type neural network and convolutional neural network, Proceedings of the Twenty-Third International Symposium on Artificial Life and Robotics (AROB 23rd 2018), Beppu, Jan. 2018..[キーワード] ...
閲覧 Shoichiro Takao, Sayaka Kondo, Junji Ueno and Tadashi Kondo : Deep feedback GMDH-type neural network and its application to medical image analysis of MRI brain images, Artificial Life and Robotics, Vol.23, No.2, 161-172, 2018..[キーワード] ...
閲覧 Shoichiro Takao, Sayaka Kondo, Junji Ueno and Tadashi Kondo : Medical image analysis of abdominal X-ray CT images by deep multi-layered GMDH-type neural network, Artificial Life and Robotics, Vol.23, No.2, 271-278, 2018..[キーワード] ...

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Number of session users = 1, LA = 1.68, Max(EID) = 383955, Max(EOID) = 1027009.