Improving a CAD system using bilateral information

Computer Aided Detection (CAD) mammographic systems are used in medicine to assist radiologists in the evaluation of mammographic images. The aim of this work is to compare the results of a developed single-image CAD system with a new one, dual-image CAD, that adds registration information of bilateral mammographic images in the training step of the former system. The evaluation of the different registration methods is performed using similarity measures. Receiver Operating Characteristic (ROC) analysis and Free Receiver Operating Characteristics (FROC) analysis are used to compare the results of both CAD systems. At a sensitivity of 80%, the false positives per image was 1.68 for the single-image CAD system and 0.90 for the dual-image CAD system. The results shows the benefits of integrating bilateral information into the CAD system.