An Annotation-Free Restoration Network for Cataractous Fundus Images-Reference-Cited by-同舟云学术

An Annotation-Free Restoration Network for Cataractous Fundus Images

Published:2022-07 Issue:7 Volume:41 Page:1699-1710
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Li Heng¹^ORCID,Liu Haofeng¹,Hu Yan¹^ORCID,Fu Huazhu²^ORCID,Zhao Yitian³^ORCID,Miao Hanpei¹,Liu Jiang⁴^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China

2. Institute of High Performance Computing, Agency for Science, Technology and Research, Singapore

3. Cixi Institute of Biomedical Engineering, Ningbo Institute of Industrial Technology, Chinese Academy of Sciences, Ningbo, China

4. Department of Computer Science and Engineering, Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology, Shenzhen, China

Funder

Department of Education of Guangdong Province

Guangdong Provincial Key Laboratory

Guangdong Basic and Applied Fundamental Research Fund Committee

Shenzhen Natural Science Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

http://xplorestaging.ieee.org/ielx7/42/9811094/09698071.pdf?arnumber=9698071

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4. A Conditional Generative Adversarial Network-Based Method for Eye Fundus Image Quality Enhancement

5. Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks

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