Computerized detection and characterization of mass lesions in digital mammography

Computer-aided diagnosis schemes for the detection of breast lesions in digital mammograms are being developed. The detection scheme employs a bilateral-subtraction technique that is based on the normal symmetry between the left and right breast images. The presence of asymmetries indicates a possible lesion. Feature-analysis techniques are then used to reduce the number of false-positive detections. In addition, characterization methods are being developed to aid in the benign/malignant decision. The authors plan to incorporate the schemes into a dedicated intelligent workstation for use as a second opinion in a mammographic screening program. Output from the computer would be displayed as an aid, leaving the final diagnostic decision to the radiologist