Dynamic rule refinement strategy of associative classifier for effective mammographic image classification

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Dynamic rule refinement strategy of associative classifier for effective mammographic image classification

Computer-aided diagnosis (CADx) has gained significant attention in helping radiologists in the interpretation of mammograms to assist in diagnostic decisionmaking. A more effective CADx increases the probability of cure. An effective mammogram classification technique benefit to the research of...

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Bibliographic Details
Main Author:	Abubacker, Nirase Fathima
Format:	Thesis
Language:	English
Published:	2016
Subjects:	Mammography - Methods Diagnosis - Computer-aided design Breast - Radiography
Online Access:	http://psasir.upm.edu.my/id/eprint/79330/ http://psasir.upm.edu.my/id/eprint/79330/1/FSKTM%202016%2031%20ir.pdf

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