Computer-aided detection for screening mammography

Kevin S. Woods; Maha Sallam

doi:10.1117/12.351005

22 June 1999 Computer-aided detection for screening mammography

Kevin S. Woods, Maha Sallam

Proceedings Volume 3590, Lasers in Surgery: Advanced Characterization, Therapeutics, and Systems IX; (1999) https://doi.org/10.1117/12.351005
Event: BiOS '99 International Biomedical Optics Symposium, 1999, San Jose, CA, United States

Abstract

Computer-aided detection of breast cancer in screening mammography is just now becoming a clinically useful tool for radiologist. Systems are being implemented to act as second readers of mammograms. These systems automatically detect suspicious regions in digitized films, or directly acquired digital images, then prompt the radiologists to examine the identified regions more carefully. The purpose of using a computerized system as a second reader is to reduce the chances of overlooking visible signs of malignancies and hence improve the breast cancer detection rates in screening programs. This paper present an overview of a mammogram image analysis system developed at Intelligent Systems, M.D., Inc. for identifying all primary signal of cancer in mammogram images. The system has been tested on a set of 88 mammography cases of four views each. The cases contain a total of 96 malignant abnormalities. They system currently achieves 91 percent sensitivity at an average of just over one false prompt per image. Ongoing system refinement and updates are expected to further improve performance.

Citation Download Citation

Kevin S. Woods and Maha Sallam "Computer-aided detection for screening mammography", Proc. SPIE 3590, Lasers in Surgery: Advanced Characterization, Therapeutics, and Systems IX, (22 June 1999); https://doi.org/10.1117/12.351005

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