Computer-aided detection in oncologic imaging: screening mammography as a case study.

Accuracy of the imaging report is dependent on the observational and interpretive skills of the radiologist, which varies between observers. Over the past several decades, research programs have focused on the use of computer algorithms to address both the perception and the interpretation aspects of diagnostic imaging. Computer-based technology that analyzes images in order to detect features of disease is called computer-aided detection (CAD). This paper reviews the current status of CAD as used with screening mammography.