文献
J-GLOBAL ID:202102264180070820
整理番号:21A1681924
X線写真における変形性膝関節症重症度評価のための深層学習ベースアルゴリズムは放射線科医の性能に合致する【JST・京大機械翻訳】
Deep learning-based algorithm for assessment of knee osteoarthritis severity in radiographs matches performance of radiologists
著者 (9件):
Swiecicki Albert
(Department of Electrical and Computer Engineering, Duke University, Durham, USA)
,
Li Nianyi
(Department of Electrical and Computer Engineering, Duke University, Durham, USA)
,
O’Donnell Jonathan
(Department of Radiology, Duke University, Durham, USA)
,
Said Nicholas
(Department of Radiology, Duke University, Durham, USA)
,
Yang Jichen
(Department of Electrical and Computer Engineering, Duke University, Durham, USA)
,
Mather Richard C.
(Department of Orthopaedic Surgery, Duke University, Durham, USA)
,
Jiranek William A.
(Department of Orthopaedic Surgery, Duke University, Durham, USA)
,
Mazurowski Maciej A.
(Department of Electrical and Computer Engineering, Duke University, Durham, USA)
,
Mazurowski Maciej A.
(Department of Radiology, Duke University, Durham, USA)
資料名:
Computers in Biology and Medicine
(Computers in Biology and Medicine)
巻:
133
ページ:
Null
発行年:
2021年
JST資料番号:
E0858A
ISSN:
0010-4825
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)