Zhang, Z, Lu, J and Yip, YJ 2008, Computer aided mammography , in: Computing and Engineering Annual Researchers' Conference 2008: CEARC’08, 2008, University of Huddersfield, Huddersfield.
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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.
Item Type: | Conference or Workshop Item (Paper) |
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Themes: | Media, Digital Technology and the Creative Economy |
Schools: | Schools > No Research Centre |
Publisher: | University of Huddersfield |
Refereed: | No |
Depositing User: | Users 29196 not found. |
Date Deposited: | 14 Aug 2012 13:07 |
Last Modified: | 16 Feb 2022 14:32 |
URI: | https://usir.salford.ac.uk/id/eprint/23114 |
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