The paper presents the first results of a Computer Aided Diagnosis (CAD) system development project for automatic evaluation of chest X-ray radiographs. The primary aim of the R&D project is to develop an intelligent advisory system for analyzing chest X-ray images and detecting lung nodules. This work has been started a few years ago and the CAD system will be used as an evaluation module of a digital X-ray lung disease screening system. The main steps of the research and development work is to segment the X-ray images according to the anatomical parts (determining the contours of lung, heart, clavicles and the rib cage) reducing the unwanted shadows (anatomical noise) of the bones and the heart, and detecting nodules and other abnormalities in the chest images. Research tasks are already in an advanced state, algorithms have been developed. First results on a moderate-size database are encouraging and we can expect further advances from the utilization of a large scale clinical testing that will start in the near future.     «

The paper presents the first results of a Computer Aided Diagnosis (CAD) system development project for automatic evaluation of chest X-ray radiographs. The primary aim of the R&D; project is to develop an intelligent advisory system for analyzing chest X-ray images and detecting lung nodules. This work has been started a few years ago and the CAD system will be used as an evaluation module of a digital X-ray lung disease screening system. The main steps of the research and development work is to...     »