Computer-aided diagnosis (CAD) may be defined as a diagnosis made by a phys
ician who takes into account the computer output as a second opinion. The p
urpose of CAD is to improve the diagnostic accuracy and the consistency of
the radiologists' image interpretation. This article is to provide a brief
overview of some of CAD schemes for detection and differential diagnosis of
pulmonary nodules and interstitial opacities in chest radiographs as well
as clustered micro-calcifications and masses in mammograms. ROC analysis cl
early indicated that the radiologists' performances were significantly impr
oved when the computer output was available. An intelligent CAD workstation
was developed for detection of breast lesions in mammograms. Results obtai
ned from the first 10 000 cases indicated the potential of CAD in detecting
approximately one-half of 'missed' breast cancer. (C) 1999 Elsevier Scienc
e Ireland Ltd. All rights reserved.