文献
J-GLOBAL ID:202002245374523219
整理番号:20A0900033
個別化筋骨格モデリングのためのBayes U-NETを用いた臨床CTからの自動筋肉セグメンテーション【JST・京大機械翻訳】
Automated Muscle Segmentation from Clinical CT Using Bayesian U-Net for Personalized Musculoskeletal Modeling
著者 (6件):
Hiasa Yuta
(Division of Information Science, Nara Institute of Science and Technology, Ikoma, Japan)
,
Otake Yoshito
(Division of Information Science, Nara Institute of Science and Technology, Ikoma, Japan)
,
Takao Masaki
(Department of Orthopaedic Surgery, Graduate School of Medicine, Osaka University, Suita, Japan)
,
Ogawa Takeshi
(Department of Orthopaedic Medical Engineering, Graduate School of Medicine, Osaka University, Suita, Japan)
,
Sugano Nobuhiko
(Department of Orthopaedic Medical Engineering, Graduate School of Medicine, Osaka University, Suita, Japan)
,
Sato Yoshinobu
(Division of Information Science, Nara Institute of Science and Technology, Ikoma, Japan)
資料名:
IEEE Transactions on Medical Imaging
(IEEE Transactions on Medical Imaging)
巻:
39
号:
4
ページ:
1030-1040
発行年:
2020年
JST資料番号:
H0895A
ISSN:
0278-0062
CODEN:
ITMID4
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)