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Computer aided mammography

By Zhiyong Zhang, Joan Lu and Yau Jim Yip

Abstract

This research investigated the state of art of computer aided detection systems for digital mammograms, and evaluated the related techniques in image pre-processing, feature extraction and classification of digital mammograms. Furthermore, this paper explored the further research directions for next generation CAD for mammograms. It was identified that computer-aided detection techniques for masses and microcalcifications have been extensively studied, but the detection techniques for architectural distortion and asymmetry in mammograms still are challenges

Topics: T1, RC0254
Publisher: University of Huddersfield
Year: 2008
OAI identifier: oai:eprints.hud.ac.uk:3706

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