Statistical shape model of the liver and effective mode selection for classification of liver cirrhosis

Yen Wei Chen, Jie Luo, Tomoko Tateyama, Xian Hua Han, Akira Furukawa, Shuzo Kanasaki, Huiyan Jiang

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

In computational anatomy, statistical shape model is used for quantitative evaluation of the variations of an organ shape. Since liver cirrhosis will cause significant hepatic morphological changes, we applied statistical shape model of the liver to capture the morphological changes and recognize whether a liver is normal or abnormal. In this paper, we propose an effective mode selection method to improve the classification accuracy. In addition to the conventional Accumulated Variance Contribution Rate (AVCR) based mode selection, we newly propose a Pearson correlation based mode selection method and combine them to select the effective modes. The coefficients of the selected modes (components) are used as features to recognize whether liver is normal or abnormal. The effectiveness of the proposed method is evaluated by the classification accuracy of normal and abnormal. Experimental results show that our proposed method is superior than conventional methods.

本文言語English
ホスト出版物のタイトルProceedings - 2012 6th International Conference on New Trends in Information Science, Service Science and Data Mining (NISS, ICMIA and NASNIT), ISSDM 2012
ページ449-452
ページ数4
出版ステータスPublished - 2012
外部発表はい
イベント2012 6th International Conference on New Trends in Information Science, Service Science and Data Mining (NISS, ICMIA and NASNIT), ISSDM 2012 - Taipei, Taiwan, Province of China
継続期間: 23-10-201225-10-2012

出版物シリーズ

名前Proceedings - 2012 6th International Conference on New Trends in Information Science, Service Science and Data Mining (NISS, ICMIA and NASNIT), ISSDM 2012

Conference

Conference2012 6th International Conference on New Trends in Information Science, Service Science and Data Mining (NISS, ICMIA and NASNIT), ISSDM 2012
国/地域Taiwan, Province of China
CityTaipei
Period23-10-1225-10-12

All Science Journal Classification (ASJC) codes

  • 情報システム
  • ソフトウェア

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