| Title | Hard Exudate Segmentation Supplemented by Super-Resolution with Multi-scale Attention Fusion Module |
| Author | |
| DOI | |
| Publication Years | 2022
|
| ISBN | 978-1-6654-6820-6
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| Source Title | |
| Pages | 1375-1380
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| Conference Date | 6-8 Dec. 2022
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| Conference Place | Las Vegas, NV, USA
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| Keywords | |
| SUSTech Authorship | First
|
| URL | [Source Record] |
| Data Source | IEEE
|
| PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9995545 |
| Citation statistics |
Cited Times [WOS]:0
|
| Document Type | Conference paper |
| Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/418591 |
| Department | Department of Computer Science and Engineering 工学院_斯发基斯可信自主研究院 |
| Affiliation | 1.Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China 2.Research Institute of Trustworthy Autonomous Systems Southern University of Science and Technology, Shenzhen, Guangdong, China 3.Department of Ophthalmology, Shenzhen People’s Hospital, Guangdong, China |
| First Author Affilication | Department of Computer Science and Engineering |
| First Author's First Affilication | Department of Computer Science and Engineering |
| Recommended Citation GB/T 7714 |
Jiayi Zhang,Xiaoshan Chen,Zhongxi Qiu,et al. Hard Exudate Segmentation Supplemented by Super-Resolution with Multi-scale Attention Fusion Module[C],2022:1375-1380.
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| Files in This Item: | There are no files associated with this item. | |||||
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