Computer-Aided Diagnosis in Chest Radiographs

Abstract

Computer-aided diagnosis (CAD) is defined as a diagnosis made by a radiologist who takes into consideration the results of a computer analysis of radiographic images as a second opinion. The general approach of the CAD scheme is to alert the radiologist by indicating potential lesions and/or by providing objective measures of opacity patterns. This article is to provide an overview of CAD schemes for detection of pulmonary nodules, interstitial diseases and interval changes in digital chest radiographs. ROC analyses indicated that the observer performances for detection of these lesions were significantly improved by using these CAD systems.