南方科技大学知识苑(SUSTech KC): Rethinking Dual-Stream Super-Resolution Semantic Learning in Medical Image Segmentation

Title	Rethinking Dual-Stream Super-Resolution Semantic Learning in Medical Image Segmentation
Author	Zhongxi Qiu1 ; Yan Hu1 ; Xiaoshan Chen 1; Dan Zeng 1; Qingyong Hu 2; Jiang Liu1
Publication Years	2023
DOI	10.1109/TPAMI.2023.3322735
Source Title	IEEE Transactions on Pattern Analysis and Machine Intelligence Impact Factor & Quartile
ISSN	1939-3539
Volume	PP Issue:99Pages:1-14
Keywords	Medical image segmentation Dual-stream learning Super-resolution Shared feature
URL	[Source Record]
SUSTech Authorship	First
ESI Research Field	ENGINEERING
Data Source	IEEE
PDF url	https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10274145
Citation statistics	Cited Times [WOS]:0
Document Type	Journal Article
Identifier	http://kc.sustech.edu.cn/handle/2SGJ60CL/575779
Department	Research Institute of Trustworthy Autonomous Systems 工学院_计算机科学与工程系
Affiliation	1.Research Institute of Trustworthy Autonomous Systems and Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China 2.Department of Computer Science, Oxford University, U.K.
First Author Affilication	Research Institute of Trustworthy Autonomous Systems; Department of Computer Science and Engineering
First Author's First Affilication	Research Institute of Trustworthy Autonomous Systems; Department of Computer Science and Engineering
Recommended Citation GB/T 7714	Zhongxi Qiu,Yan Hu,Xiaoshan Chen,et al. Rethinking Dual-Stream Super-Resolution Semantic Learning in Medical Image Segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2023,PP(99):1-14.
APA	Zhongxi Qiu,Yan Hu,Xiaoshan Chen,Dan Zeng,Qingyong Hu,&Jiang Liu.(2023).Rethinking Dual-Stream Super-Resolution Semantic Learning in Medical Image Segmentation.IEEE Transactions on Pattern Analysis and Machine Intelligence,PP(99),1-14.
MLA	Zhongxi Qiu,et al."Rethinking Dual-Stream Super-Resolution Semantic Learning in Medical Image Segmentation".IEEE Transactions on Pattern Analysis and Machine Intelligence PP.99(2023):1-14.

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