| Title | Understanding How Fundus Image Quality Degradation Affects CNN-based Diagnosis |
| Author | |
| DOI | |
| Publication Years | 2022
|
| ISSN | 2375-7477
|
| ISBN | 978-1-7281-2783-5
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| Source Title | |
| Pages | 438-442
|
| Conference Date | 11-15 July 2022
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| Conference Place | Glasgow, Scotland, United Kingdom
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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=9871507 |
| Citation statistics |
Cited Times [WOS]:0
|
| Document Type | Conference paper |
| Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/401509 |
| Department | Department of Computer Science and Engineering |
| Affiliation | 1.Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China 2.Cixi Institute of Biomedical Engineering, Ningbo Institute of Industrial Technology, Chinese Academy of Sciences, Ningbo, 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 |
Haofeng Liu,Haojin Li,Xiaoxuan Wang,et al. Understanding How Fundus Image Quality Degradation Affects CNN-based Diagnosis[C],2022:438-442.
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| Files in This Item: | There are no files associated with this item. | |||||
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