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Proceedings Paper

Computer-aided screening mammography
Author(s): Murk J. Bottema; John P. Slavotinek
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Paper Abstract

In the past ten years, there has been a push to improve early detection of breast cancer by providing radiologists with computer assistance in assessing screening mammograms. A large variety of modern image analysis techniques have been proposed for automatically detecting and classifying anomalies in mammograms. Although much of the work has not been focused on the critical issues and there have been problems in comparing the performance of the various proposed techniques, substantial progress has been made. The field is now at the critical point of emerging from a state where the goal was to prove feasibility to a stage where the full potential of computer assistance can be realized. The three ingredients driving this transition are (1) recent studies which firmly establish a positive effect of computer assistance on assessing mammograms, (2) winning US FDA approval of the first commercial product for providing such assistance, and (3) the advent of direct digital image acquisition for screening mammography.

Paper Details

Date Published: 8 July 1999
PDF: 14 pages
Proc. SPIE 3747, New Approaches in Medical Image Analysis, (8 July 1999); doi: 10.1117/12.351622
Show Author Affiliations
Murk J. Bottema, Flinders Univ. and Cooperative Research Ctr. for Sensor Signal and Image Processing (Australia)
John P. Slavotinek, Flinders Medical Ctr. (Australia)


Published in SPIE Proceedings Vol. 3747:
New Approaches in Medical Image Analysis
Binh Pham; Michael Braun; Anthony John Maeder; Michael P. Eckert, Editor(s)

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