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 ◽

10.1016/j.procs.2013.09.093 ◽

2013 ◽

Vol 22 ◽

pp. 172-181 ◽

Author(s):

Tadashi Kondo ◽

Junji Ueno ◽

Shoichiro Takao

Keyword(s):

Neural Network ◽

Regression Analysis ◽

Liver Cancer ◽

Medical Image ◽

Principal Component Regression ◽

Principal Component ◽

Principal Component Regression Analysis ◽

Medical Image Diagnosis ◽

Image Diagnosis

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Medical image diagnosis of liver cancer by hybrid feedback GMDH-type neural network using principal component-regression analysis

Artificial Life and Robotics ◽

10.1007/s10015-015-0213-1 ◽

2015 ◽

Vol 20 (2) ◽

pp. 145-151 ◽

Author(s):

Tadashi Kondo ◽

Junji Ueno ◽

Shoichiro Takao

Keyword(s):

Neural Network ◽

Regression Analysis ◽

Liver Cancer ◽

Medical Image ◽

Principal Component Regression ◽

Principal Component ◽

Principal Component Regression Analysis ◽

Medical Image Diagnosis ◽

Image Diagnosis

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Medical Image Diagnosis of Liver Cancer by Multi-layered GMDH-type Neural Network Using Principal Component-Regression Analysis and PSS Criterion

Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications ◽

10.5687/sss.2013.255 ◽

2013 ◽

Vol 2013 (0) ◽

pp. 255-262

Author(s):

Tadashi Kondo ◽

Junji Ueno ◽

Shoichiro Takao

Keyword(s):

Neural Network ◽

Regression Analysis ◽

Liver Cancer ◽

Medical Image ◽

Principal Component Regression ◽

Principal Component ◽

Principal Component Regression Analysis ◽

Medical Image Diagnosis ◽

Image Diagnosis

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Hybrid Multi-layered GMDH-Type Neural Network Using Principal Component-Regression Analysis and Its Application to Medical Image Diagnosis of Lung Cancer

2012 ASE/IEEE International Conference on BioMedical Computing (BioMedCom) ◽

10.1109/biomedcom.2012.10 ◽

2012 ◽

Author(s):

Tadashi Kondo ◽

Junji Ueno ◽

Schoichiro Takao

Keyword(s):

Neural Network ◽

Lung Cancer ◽

Regression Analysis ◽

Medical Image ◽

Principal Component Regression ◽

Principal Component ◽

Principal Component Regression Analysis ◽

Medical Image Diagnosis ◽

Image Diagnosis ◽

Diagnosis Of Lung Cancer

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Feedback RBF GMDH-Type Neural Network Using Principal Component-Regression Analysis and Its Application to Medical Image Diagnosis of Lung Cancer

2013 First International Symposium on Computing and Networking ◽

10.1109/candar.2013.29 ◽

2013 ◽

Author(s):

Tadashi Kondo ◽

Junji Ueno ◽

Schoichiro Takao

Keyword(s):

Neural Network ◽

Lung Cancer ◽

Regression Analysis ◽

Medical Image ◽

Principal Component Regression ◽

Principal Component ◽

Principal Component Regression Analysis ◽

Medical Image Diagnosis ◽

Image Diagnosis ◽

Diagnosis Of Lung Cancer

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Medical image diagnosis of kidney regions by deep feedback GMDH-type neural network using principal component-regression analysis

Artificial Life and Robotics ◽

10.1007/s10015-016-0337-y ◽

2016 ◽

Vol 22 (1) ◽

pp. 1-9

Author(s):

Tadashi Kondo ◽

Sayaka Kondo ◽

Junji Ueno ◽

Shoichiro Takao

Keyword(s):

Neural Network ◽

Regression Analysis ◽

Medical Image ◽

Principal Component Regression ◽

Principal Component ◽

Principal Component Regression Analysis ◽

Medical Image Diagnosis ◽

Image Diagnosis

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Logistic GMDH-type neural network using principal component-regression analysis and its application to medical image diagnosis of lung cancer

Artificial Life and Robotics ◽

10.1007/s10015-015-0200-6 ◽

2015 ◽

Vol 20 (2) ◽

pp. 137-144 ◽

Author(s):

Tadashi Kondo ◽

Junji Ueno ◽

Shoichiro Takao

Keyword(s):

Neural Network ◽

Lung Cancer ◽

Regression Analysis ◽

Medical Image ◽

Principal Component Regression ◽

Principal Component ◽

Principal Component Regression Analysis ◽

Medical Image Diagnosis ◽

Image Diagnosis ◽

Diagnosis Of Lung Cancer

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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 ◽

10.2991/jrnal.2015.2.3.7 ◽

2015 ◽

Vol 2 (3) ◽

pp. 166

Author(s):

Tadashi Kondo ◽

Junji Ueno ◽

Shoichiro Takao

Keyword(s):

Neural Network ◽

Regression Analysis ◽

Image Recognition ◽

Medical Image ◽

Principal Component Regression ◽

Principal Component ◽

Principal Component Regression Analysis ◽

Medical Image Recognition

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Medical Image Recognition of Abdominal Multi-organs by Hybrid Multi-layered GMDH-type Neural Network Using Principal Component-Regression Analysis

2014 Second International Symposium on Computing and Networking ◽

10.1109/candar.2014.62 ◽

2014 ◽

Author(s):

Tadashi Kondo ◽

Junji Ueno ◽

Schoichiro Takao

Keyword(s):

Neural Network ◽

Regression Analysis ◽

Image Recognition ◽

Medical Image ◽

Principal Component Regression ◽

Principal Component ◽

Principal Component Regression Analysis ◽

Medical Image Recognition

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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 ◽

10.2991/jrnal.2015.2.2.6 ◽

2015 ◽

Vol 2 (2) ◽

pp. 94 ◽

Author(s):

Tadashi Kondo ◽

Junji Ueno ◽

Shoichiro Takao

Keyword(s):

Neural Network ◽

Regression Analysis ◽

Image Recognition ◽

Medical Image ◽

Principal Component Regression ◽

Principal Component ◽

Principal Component Regression Analysis ◽

Medical Image Recognition

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Hybrid feedback GMDH-type neural network using principal component-regression analysis and its application to medical image recognition of heart regions

2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS) ◽

10.1109/scis-isis.2014.7044800 ◽

2014 ◽

Author(s):

Tadashi Kondo ◽

Junji Ueno ◽

Schoichiro Takao

Keyword(s):

Neural Network ◽

Regression Analysis ◽

Image Recognition ◽

Medical Image ◽

Principal Component Regression ◽

Principal Component ◽

Principal Component Regression Analysis ◽

Medical Image Recognition

Download Full-text