Computer-Aided Diagnosis in Abdominal and Cardiac 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.

作者: Du-Yih Tsai Masaru Sekiya Yongbum Lee

作者单位: Department of Radiological Technology, School of Health Sciences, Faculty of Medicine,Niigata University Asahimachi-dori, 2-746, Niigata-city, 951-8518, Japan

会议类型: 国际会议

会议名称: 8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)

会议地点: 上海

会议语种:英文

页码: 413-417

在线出版日期: 2001-11-14（万方平台首次上网日期，不代表论文的发表时间）