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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)
(in English)
/ / / / / / /
Reference Info.
IEICE Tech. Rep.
Paper #
Date of Issue
ISSN
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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
Sub Title (in English)
Keyword(1)
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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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Speaker
Author-1
Date Time
2017-01-18 16:59:00
Presentation Time
12 minutes
Registration for
MI
Paper #
Volume (vol)
vol.116
Number (no)
no.393
Page
#Pages
Date of Issue
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