文献
J-GLOBAL ID:202202230619518219
整理番号:22A0832003
CT画像上の自動COVID-19肺感染セグメンテーションのための深部同時監視と注意融合戦略【JST・京大機械翻訳】
Deep co-supervision and attention fusion strategy for automatic COVID-19 lung infection segmentation on CT images
著者 (11件):
Hu Haigen
(College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, PR China)
,
Hu Haigen
(Key Laboratory of Visual Media Intelligent Processing Technology of Zhejiang Province, Hangzhou 310023, PR China)
,
Shen Leizhao
(College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, PR China)
,
Shen Leizhao
(Key Laboratory of Visual Media Intelligent Processing Technology of Zhejiang Province, Hangzhou 310023, PR China)
,
Guan Qiu
(College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, PR China)
,
Guan Qiu
(Key Laboratory of Visual Media Intelligent Processing Technology of Zhejiang Province, Hangzhou 310023, PR China)
,
Li Xiaoxin
(College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, PR China)
,
Li Xiaoxin
(Key Laboratory of Visual Media Intelligent Processing Technology of Zhejiang Province, Hangzhou 310023, PR China)
,
Zhou Qianwei
(College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, PR China)
,
Zhou Qianwei
(Key Laboratory of Visual Media Intelligent Processing Technology of Zhejiang Province, Hangzhou 310023, PR China)
,
Ruan Su
(University of Rouen Normandy, LITIS EA 4108, Rouen 76183, France)
資料名:
Pattern Recognition
(Pattern Recognition)
巻:
124
ページ:
Null
発行年:
2022年
JST資料番号:
D0611A
ISSN:
0031-3203
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)