Presentation	2011-07-08 Medical image diagnosis of liver cancer by feedback GMDH-type neural network Tadashi Kondo,
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Abstract(in English)	A revised Group Method of Data Handling (GMDH)-type neural network algorithm using artificial intelligence technology for medical image diagnosis is proposed and is applied to medical image diagnosis of liver cancer. In this algorithm, the knowledge base for medical image diagnosis is used for organizing the neural network architecture for medical image diagnosis. Furthermore, the revised GMDH-type neural network algorithm has a feedback loop and can identify the characteristics of the medical images accurately using feedback loop calculations. The optimum neural network architecture fitting the complexity of the medical images is automatically organized so as to minimize the prediction error criterion defined as Prediction Sum of Squares (PSS). It is shown that the revised GMDH-type neural network can be easily applied to the medical image diagnosis.
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Keyword(in English)	GMDH / Neural network / Medical image diagnosis
Paper #	MBE2011-21
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Conference Information
Committee	MBE
Conference Date	2011/7/1(1days)
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Paper Information
Registration To	ME and Bio Cybernetics (MBE)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Medical image diagnosis of liver cancer by feedback GMDH-type neural network
Sub Title (in English)
Keyword(1)	GMDH
Keyword(2)	Neural network
Keyword(3)	Medical image diagnosis
1st Author's Name	Tadashi Kondo
1st Author's Affiliation	Graduate School of Health Sciences, The University of Tokushima()
Date	2011-07-08
Paper #	MBE2011-21
Volume (vol)	vol.111
Number (no)	121
Page	pp.pp.-
#Pages	6
Date of Issue