Computer-Aided Diagnosis in Abdominal and Cardiae Radiology Using Neural Networks

摘要

In recent years, considerable and serious efforts have been made toward the development of computer aided diagnosis (CAD) systems in diagnostic radiology. The CAD in radiology is a diagnosis made by a clinician (radiologist) who uses the output from a computerized analysis of medical images as a second opinion. In this paper, we describe two CAD systems using artificial neural networks (ANNs). The first system is an application to the segmentation of liver region in computed tomographic images for 3D visualization. The second system is an application to classification of cardiac disease. Results show that the presented systems using the ANNs give considerably satisfactory detection and classification performance.