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Paper Abstract and Keywords
Presentation 2017-01-18 16:59
Automated segmentation of local deformed pelvis from CT using disease-specific statistical shape model
Yuta Otani, Futoshi Yokota (NAIST), Masaki Takao, Nobuhiko Sugano (Osaka Univ), Yoshito Otake, Yoshinobu Sato (NAIST)
Abstract (in Japanese) (See Japanese page) 
(in English) (Not available yet)
Keyword (in Japanese) (See Japanese page) 
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Conference Information
Committee MI  
Conference Date 2017-01-18 - 2017-01-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Tenbusu Naha 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Image Engineering, Analysis, Recognition, etc. 
Paper Information
Registration To MI 
Conference Code 2017-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automated segmentation of local deformed pelvis from CT using disease-specific statistical shape model 
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1st Author's Name Yuta Otani  
1st Author's Affiliation Graduate School of Information Science , Nara Institute of Science and Technology (NAIST)
2nd Author's Name Futoshi Yokota  
2nd Author's Affiliation Graduate School of Information Science , Nara Institute of Science and Technology (NAIST)
3rd Author's Name Masaki Takao  
3rd Author's Affiliation Osaka University Graduate School of Medicine (Osaka Univ)
4th Author's Name Nobuhiko Sugano  
4th Author's Affiliation Osaka University Graduate School of Medicine (Osaka Univ)
5th Author's Name Yoshito Otake  
5th Author's Affiliation Graduate School of Information Science , Nara Institute of Science and Technology (NAIST)
6th Author's Name Yoshinobu Sato  
6th Author's Affiliation Graduate School of Information Science , Nara Institute of Science and Technology (NAIST)
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Date Time 2017-01-18 16:59:00 
Presentation Time 12 minutes 
Registration for MI 
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Volume (vol) vol.116 
Number (no) no.393 
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