Comparison of Single Image Processing and Bilateral Image Feature Subtraction in Breast Cancer Detection

Although the concept of bilateral asymmetry analysis is appealing and techniques have been applied in automatic breast cancer detection, its application is compromised due to the difficulty in accurately aligning left and right breast images. This study developed a computerized method for automated breast cancer detection using bilateral image feature subtraction and compared it with single image processing technique. Experiment showed that bilateral image feature subtraction method performed better than single image processing technique. The weighted averages of TP (true positive) and FP (false positive) for bilateral image feature subtraction approach were 0.712 and 0.288; while the weighted averages of TP and FP for single image processing technique were 0.519 and 0.486, respectively.