文献
J-GLOBAL ID:202002264743590329
整理番号:20A1572009
t2強調MRIによる直腸癌におけるKRAS変異予測のための多枝交差注意モデル【JST・京大機械翻訳】
Multi-branch cross attention model for prediction of KRAS mutation in rectal cancer with t2-weighted MRI
著者 (9件):
Wang JiaWen
(College of Information and Computer, Taiyuan University of Technology, Taiyuan, China)
,
Cui YanFen
(Department of Radiology, Shanxi Province Cancer Hospital, Shanxi Medical University, Taiyuan, China)
,
Shi GuoHua
(College of Information and Computer, Taiyuan University of Technology, Taiyuan, China)
,
Zhao JuanJuan
(College of Information and Computer, Taiyuan University of Technology, Taiyuan, China)
,
Yang XiaoTang
(Department of Radiology, Shanxi Province Cancer Hospital, Shanxi Medical University, Taiyuan, China)
,
Qiang Yan
(College of Information and Computer, Taiyuan University of Technology, Taiyuan, China)
,
Du QianQian
(College of Information and Computer, Taiyuan University of Technology, Taiyuan, China)
,
Ma Yue
(College of Information and Computer, Taiyuan University of Technology, Taiyuan, China)
,
Kazihise Ntikurako Guy-Fernand
(College of Information and Computer, Taiyuan University of Technology, Taiyuan, China)
資料名:
Applied Intelligence
(Applied Intelligence)
巻:
50
号:
8
ページ:
2352-2369
発行年:
2020年
JST資料番号:
W0297A
ISSN:
0924-669X
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)