Computer‐Assisted Detection and Diagnosis

Abstract Computer‐aided diagnosis (CAD) is defined as a diagnosis made by a radiologist who takes into account the output of a computerized analysis of a medical image. There are in general two different types of CAD schemes: one to locate suspicious regions in the image, computer‐aided detection (CADe) and another to classify a suspicious region into one of two or more classes, computer‐aided diagnosis (CADx). The goal of CAD is to improve the performance of radiologists, to reduce variation within and between radiologists, and to make radiologists more efficient. This article describes motivation for developing CAD, the basic principles, current issues in CAD research, and future areas for development.