Related Experiment Video
Updated: Aug 19, 2026
Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
Published on: August 30, 2013
A computer-aided detection system for the evaluation of breast cancer by mammographic appearance and lesion size
Rachel F Brem1, Jeffrey W Hoffmeister, Gilat Zisman
1Department of Radiology, The George Washington University, 2150 Pennsylvania Ave. NW, Washington, DC 21117, USA.
Objective:
The purpose of our study was to evaluate the performance of a computer-aided detection (CAD) system in the detection of breast cancer based on mammographic appearance and lesion size.
Conclusion:
The CAD system correctly marked most biopsy-proven breast cancers, with a greater sensitivity for microcalcification than for mass lesions but with no significant difference in performance based on cancer size. CAD was highly effective in detecting even the smallest lesions, with a sensitivity of 92% for lesions of 5 mm or less. CAD is a useful tool for the detection of breast cancer.
