文献
J-GLOBAL ID:202002291686240223
整理番号:20A0475431
深部学習フレームワークを用いた前方-後方ラジオグラフィー画像からの骨盤矢状傾斜の完全自動推定【JST・京大機械翻訳】
Fully automatic estimation of pelvic sagittal inclination from anterior-posterior radiography image using deep learning framework
著者 (8件):
Jodeiri Ata
(School of Electrical and Computer Engineering, University College of Engineering, University of Tehran, North Kargar st., Tehran 1439957131, Iran.)
,
Jodeiri Ata
(Graduate School of Information Science, Nara Institute of Science and Technology, 8916-5 Takayama-cho, Ikoma, Nara 630-0192, Japan)
,
Zoroofi Reza A.
(School of Electrical and Computer Engineering, University College of Engineering, University of Tehran, North Kargar st., Tehran 1439957131, Iran.)
,
Hiasa Yuta
(Graduate School of Information Science, Nara Institute of Science and Technology, 8916-5 Takayama-cho, Ikoma, Nara 630-0192, Japan)
,
Takao Masaki
(Department of Orthopedic Surgery, Osaka University Graduate School of Medicine, 2 Chome-2 Yamadaoka, Suita, Osaka 565-0871, Japan)
,
Sugano Nobuhiko
(Department of Orthopedic Medical Engineering, Osaka University Graduate School of Medicine, 2 Chome-2 Yamadaoka, Suita, Osaka 565-0871, Japan)
,
Sato Yoshinobu,
(Graduate School of Information Science, Nara Institute of Science and Technology, 8916-5 Takayama-cho, Ikoma, Nara 630-0192, Japan)
,
Otake Yoshito
(Graduate School of Information Science, Nara Institute of Science and Technology, 8916-5 Takayama-cho, Ikoma, Nara 630-0192, Japan)
資料名:
Computer Methods and Programs in Biomedicine
(Computer Methods and Programs in Biomedicine)
巻:
184
ページ:
Null
発行年:
2020年
JST資料番号:
D0213C
ISSN:
0169-2607
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アイルランド (IRL)
言語:
英語 (EN)