A morphologic analysis of cirrhotic liver in CT images

Yen Wei Chen, Jie Luo, Xianhua Han, Tomoko Tateyama, Akira Furukawa, Shuzo Kanasaki

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

2 被引用数 (Scopus)

抄録

Cirrhosis will cause significant morphological changes on both liver and spleen. In this paper, we constructed not only the liver statistical shape models (SSM), but also the spleen SSM and a joint SSM of the liver and the spleen for a morphologic analysis of the cirrhotic liver in CT images. We also proposed a mode selection method based on both its accumulation contribution rate and its correlation with doctor's opinions (labels). The classification performance for normal and abnormal livers is significantly improved by our proposed method. The classification accuracies for normal and cirrhotic livers are 88% and 90%, respectively.

本文言語英語
ホスト出版物のタイトルImage Analysis and Recognition - 10th International Conference, ICIAR 2013, Proceedings
ページ494-501
ページ数8
DOI
出版ステータス出版済み - 2013
外部発表はい
イベント10th International Conference on Image Analysis and Recognition, ICIAR 2013 - Povoa do Varzim, ポルトガル
継続期間: 26-06-201328-06-2013

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
7950 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

会議

会議10th International Conference on Image Analysis and Recognition, ICIAR 2013
国/地域ポルトガル
CityPovoa do Varzim
Period26-06-1328-06-13

All Science Journal Classification (ASJC) codes

  • 理論的コンピュータサイエンス
  • コンピュータサイエンス一般

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