Art

J-GLOBAL ID：201302227288784972   Reference number：13A0995167

Ensemble Learning Based Segmentation of Metastatic Liver Tumours in Contrast-Enhanced Computed Tomography

コントラスト増強計算機トモグラフィーにおける転移性肝臓腫瘍のアンサンブル学習に基づくセグメント化

Author (6)： SHIMIZU Akinobu (Tokyo Univ. of Agriculture and Technol.) ,  NARIHIRA Takuya (Tokyo Univ. of Agriculture and Technol.) ,  KOBATAKE Hidefumi (Tokyo Univ. of Agriculture and Technol.) ,  FURUKAWA Daisuke (Tokyo Univ. of Agriculture and Technol.) ,  NAWANO Shigeru (International Univ. of Health and Welfare) ,  SHINOZAKI Kenji (Kyushu Cancer Center)
Material： IEICE Transactions on Information and Systems (Institute of Electronics, Information and Communication Engineers)  (IEICE Trans Inf Syst (Inst Electron Inf Commun Eng))
Volume： E96-D  Issue： 4  Page： 864-868 (J-STAGE)  Publication year： 2013 
JST Material Number： L1371A  ISSN： 0916-8532  Document type： Article
Article type： 短報  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： tumor ,...
Semi thesaurus term： *computed tomography ,...

Register(free) or Log In to access     To see more with JDream III (charged).   {{ this.onShowAbsJLink("http://jdream3.com/lp/jglobal/index.html?docNo=13A0995167&from=J-GLOBAL&jstjournalNo=L1371A") }}

JST classification (2)： Diagnosis of tumors(=neoplasms)  (GE03020J) ,  Medical image processing  (JE04020T)

Reference (16)：

• SOLER, L. Fully automatic anatomical, pathological, and functional segmentation from CT scans for hepatic surgery. Computer Aided Surgery. 2001, 6, 3, 131-142
• SEO, K. Automatic boundary tumor segmentation of a liver. Computational Science and Its Applications-ICCSA, 2005. 2005, 3483, 836-842
• SHIMIZU, A. Proposal of computeraided detection system for three dimensional CT images of liver cancer. Proc. Computer Assisted Radiology and Surgery, 2005. 2005, 1157-1162
• PESCIAL, D. Automatic detection of liver tumors. Proc. ISBI, 2008. 2008
• NIESSEN, W. 3D segmentation in the clinic : A grand challenge. Proc. MICCAI Workshop, 2008. 2008

Terms in the title (6)： コントラスト ,  増強 ,  計算機トモグラフィー ,  転移性肝臓腫瘍 ,  アンサンブル学習 ,  セグメント化