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J-GLOBAL ID：201902220100854995   Reference number：19S1548593

Automated Segmentation of the Liver from 3D CT Images Using Probabilistic Atlas and Multilevel Statistical Shape Model

Author (10)： Okada, Toshiyuki (Department of Computer Science, Osaka University Graduate School of Information Science and Technology) ,  Okada, Toshiyuki (Division of Image Analysis, Department of Medical Engineering, Osaka University Graduate School of Medicine) ,  Shimada, Ryuji (Department of Computer Science, Osaka University Graduate School of Information Science and Technology) ,  Nakamoto, Masahiko (Department of Computer Science, Osaka University Graduate School of Information Science and Technology) ,  Nakamoto, Masahiko (Division of Image Analysis, Department of Medical Engineering, Osaka University Graduate School of Medicine) ,  Sato, Yoshinobu (Department of Computer Science, Osaka University Graduate School of Information Science and Technology) ,  Sato, Yoshinobu (Division of Image Analysis, Department of Medical Engineering, Osaka University Graduate School of Medicine) ,  Hori, Masatoshi (Department of Radiology, Osaka University Graduate School of Medicine) ,  Nakamura, Hironobu (Department of Radiology, Osaka University Graduate School of Medicine) ,  Chen, Yen-Wei (College of Information Science and Engineering, Ritsumeikan University)
Material： Academic Radiology
Volume： 15  Issue： 11  Page： 1390-1403  Publication year： 2008 
JST Material Number： SCOPUS  ISSN： 1076-6332  CODEN： ARADF 
Country of issue： United States (USA)  Language： English (EN)

Terms in the title (3)： 3D ,  CT ,  ATLAS