文献
J-GLOBAL ID:202202237709942682
整理番号:22A1087076
低線量CTサイノグラム回復のためのノイズ生成メカニズム駆動教師なし学習【JST・京大機械翻訳】
Noise-Generating-Mechanism-Driven Unsupervised Learning for Low-Dose CT Sinogram Recovery
著者 (12件):
Zeng Dong
(College of Automation Science and Engineering, South China University of Technology, Guangzhou, China)
,
Wang Lei
(School of Biomedical Engineering, Southern Medical University, Guangzhou, China)
,
Geng Mingrui
(School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China)
,
Li Sui
(School of Biomedical Engineering, Southern Medical University, Guangzhou, China)
,
Deng Yun
(School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China)
,
Xie Qi
(School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China)
,
Li Danyang
(School of Biomedical Engineering, Southern Medical University, Guangzhou, China)
,
Zhang Hua
(School of Biomedical Engineering, Southern Medical University, Guangzhou, China)
,
Li Yuanqing
(College of Automation Science and Engineering, South China University of Technology, Guangzhou, China)
,
Xu Zongben
(School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China)
,
Meng Deyu
(Faculty of Information Technology, Macau University of Science and Technology, Taipa, Macau)
,
Ma Jianhua
(Distributed Medical Imaging Center, Guangdong Artificial Intelligence and Digital Economy Laboratory (Guangzhou), Guangzhou, China)
資料名:
IEEE Transactions on Radiation and Plasma Medical Sciences
(IEEE Transactions on Radiation and Plasma Medical Sciences)
巻:
6
号:
4
ページ:
404-414
発行年:
2022年
JST資料番号:
W2475A
ISSN:
2469-7311
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)