RFormer: Transformer-Based Generative Adversarial Network for Real Fundus Image Restoration on a New Clinical Benchmark-Reference-Cited by-同舟云学术

RFormer: Transformer-Based Generative Adversarial Network for Real Fundus Image Restoration on a New Clinical Benchmark

Author:

Deng Zhuo¹^ORCID,Cai Yuanhao¹^ORCID,Chen Lu²,Gong Zheng¹,Bao Qiqi¹^ORCID,Yao Xue²,Fang Dong²,Yang Wenming¹,Zhang Shaochong²,Ma Lan¹

Affiliation:

1. Shenzhen International Graduate School, Tsinghua University, Shenzhen, China

2. Shenzhen Eye Hospital affiliated to Jinan University, Shenzhen, China

Funder

Shenzhen Bay Laboratory and the Shenzhen International Science and Technology Information Center

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

Reference95 articles.

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