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2009年アジア太平洋信号情報処理連合学会アニュアルサミット・国際会議  >

Thyroid Nodule Segmentation and Component Analysis in Ultrasound Images

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タイトル: Thyroid Nodule Segmentation and Component Analysis in Ultrasound Images
著者: Chang, Chuan-Yu 著作を一覧する
Huang, Hsin-Cheng 著作を一覧する
Chen, Shao-Jer 著作を一覧する
発行日: 2009年10月 4日
出版者: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference, International Organizing Committee
誌名: Proceedings : APSIPA ASC 2009 : Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference
開始ページ: 910
終了ページ: 917
抄録: Heterogeneous thyroid nodules with distinct components are similar to background in ultrasound image. This results in a difficult task when radiologists and physicians manually delineate the complete shape of a nodule, or distinguish what kind of components it has. Hence, this paper presents an automatic process for nodule segmentation and component classification. A decision tree algorithm is used to segment the possible nodular area. A refinement process is then applied to recover the nodular shape. Finally, a hierarchical classification method based on support vector machine (SVM) is used to identify the components in the nodular lesion. Experimental results of the proposed approach were compared with those of other segmentation methods and showed a good performance.
記述: APSIPA ASC 2009: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference. 4-7 October 2009. Sapporo, Japan. Oral session: Multimedia Analysis and Processing (7 October 2009).
資料タイプ: proceedings
URI: http://hdl.handle.net/2115/39831
出現コレクション:2009年アジア太平洋信号情報処理連合学会アニュアルサミット・国際会議 (2009 APSIPA Annual Summit and Conference)

 

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