Z Zhang
Computer aided mammography
Zhang, Z; Lu, J; Yip, YJ
Authors
J Lu
YJ 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.
Citation
Zhang, Z., Lu, J., & Yip, Y. (2008, January). Computer aided mammography. Presented at Computing and Engineering Annual Researchers' Conference 2008: CEARC’08, University of Huddersfield, Huddersfield
Presentation Conference Type | Other |
---|---|
Conference Name | Computing and Engineering Annual Researchers' Conference 2008: CEARC’08 |
Conference Location | University of Huddersfield, Huddersfield |
Start Date | Jan 1, 2008 |
Publication Date | Nov 1, 2008 |
Deposit Date | Aug 14, 2012 |
Publicly Available Date | Apr 5, 2016 |
Keywords | digital mammography, CAD, breast cancer |
Additional Information | Event Type : Conference |
Files
Accepted Version
(279 Kb)
PDF
Downloadable Citations
About USIR
Administrator e-mail: library-research@salford.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search