Application of Statistical Shape Model to Diagnosis of Liver Disease

摘要：

In computational anatomy, statistical shape model is used for quantitative evaluation of the variations of an organ shape. This paper is focused on construction of Statistical Shape Model of the liver and its application to computer assisted diagnosis. We prove the potential application of statistical shape models in classification of normal and cirrhosis livers. First, statistical shape model of liver is constructed. Then the coefficients of the model are used to recognize whether liver is normal or abnormal.

关键词： Statistical Shape Model Computer-Aided Diagno.sis

作者: Shinya Kohara Tomoko Tateyama1 Amir Hossein Foruzan M.H.N.M. Nasir N. Khamis Shuzo Kanasaki Makoto Wakamiya

作者单位: Graduate School of Information Science and Engineering, Ritsumeikan University,Shiga,Japan Graduate School of Information Science and Engineering,Ritsumeikan University,Shiga,Japan Graduate School of Information Science and Engineering, Ritsumeikan University,Shiga,Japan;School of Department of Radiology, Shiga University of Medical Science,Shiga,Japan 3Department of Radiology,Shiga University of Medical Science,Shiga,Japan

会议类型: 国际会议

会议名称: The 2nd International Conference on Software Engineering and Data Mining(IEEE 第二届国际软件工程和数据挖掘学术大会 SEDM 2010)

会议地点: 成都

会议语种:英文

页码: 648-651

在线出版日期: 2010-06-23（万方平台首次上网日期，不代表论文的发表时间）