Zhang, Zhiyong, Lu, Joan and Yip, Yau Jim (2008) Computer aided mammography. In: Proceedings of Computing and Engineering Annual Researchers' Conference 2008: CEARC’08. University of Huddersfield, Huddersfield, pp. 125-130. ISBN 978-1-86218-067-3
|PDF - Published Version |
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:||Book Chapter|
|Uncontrolled Keywords:||digital mammography, CAD, breast cancer|
|Subjects:||T Technology > T Technology (General)|
R Medicine > RC Internal medicine > RC0254 Neoplasms. Tumors. Oncology (including Cancer)
|Schools:||School of Computing and Engineering|
School of Computing and Engineering > Computing and Engineering Annual Researchers' Conference (CEARC)
School of Computing and Engineering > Diagnostic Engineering Research Centre
School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group
School of Computing and Engineering > High-Performance Intelligent Computing
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School of Computing and Engineering > High-Performance Intelligent Computing > Information and Systems Engineering Group
|Depositing User:||Graham Stone|
|Date Deposited:||02 Apr 2009 13:45|
|Last Modified:||09 Dec 2010 12:50|
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