A STUDY OF MICROSCOPIC IMAGES OF HUMAN BREAST DISEASE USING COMPETITIVE NEURAL NETWORKSPOMPES PAR TRANSITIONS MULTIPLES

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" A STUDY OF MICROSCOPIC IMAGES OF HUMAN BREAST DISEASE USING COMPETITIVE NEURAL NETWORKSPOMPES PAR TRANSITIONS MULTIPLES "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	153116
Doc. No	:	ET24908
Main Entry	:	Randy Allan, MD, FRCP(C)
Title Proper	:	A STUDY OF MICROSCOPIC IMAGES OF HUMAN BREAST DISEASE USING COMPETITIVE NEURAL NETWORKSPOMPES PAR TRANSITIONS MULTIPLES
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	Competitive neural networks offer a unique opportunity to extract features frommedical images objectively. The advantages to this approach include automated or semi-automated analysis of medical images. Such an automation leads to improved precisionand accuracy of diagnostic interpretation, while semi-automation achieves much the samegoal with the help of a physician and could serve as a natural stepping-stone to 54.
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL49119.pdf
Title and statement of responsibility and	:	A STUDY OF MICROSCOPIC IMAGES OF HUMAN BREAST DISEASE USING COMPETITIVE NEURAL NETWORKSPOMPES PAR TRANSITIONS MULTIPLES [Thesis]