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DSEGAN: Detail and structure enhanced generative adversarial network for fundus image enhancement.

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Title: DSEGAN: Detail and structure enhanced generative adversarial network for fundus image enhancement.
Authors: Liu S; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China; Guangdong Key Laboratory of Big Data Analysis and Processing, Guangzhou 510665, China., Ouyang J; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China., Wu X; Zhongshan Ophthalmic Center State Key Laboratory of Ophthalmology, Sun Yat-Sen University, Guangzhou, Guangdong, China., Xu F; Qilu Hospital, Shandong University, Jinan, China., Zhou Y; Shenzhen Institute of Information Technology, Shenzhen, China., Wang X; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China., Zhang H; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China., Wang K; Guangdong Zhixin New Energy Technology Co., Ltd., Guangzhou, China. Electronic address: 1586547395@qq.com., Lu X; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China; Guangdong Provincial Key Laboratory of Intellectual Property & Big Data, Guangzhou 510665, China. Electronic address: bruda@126.com.
Source: Photodiagnosis and photodynamic therapy [Photodiagnosis Photodyn Ther] 2026 Jun; Vol. 59, pp. 105475. Date of Electronic Publication: 2026 Apr 18.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 101226123 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-1597 (Electronic) Linking ISSN: 15721000 NLM ISO Abbreviation: Photodiagnosis Photodyn Ther Subsets: MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: DSEGAN: Detail and structure enhanced generative adversarial network for fundus image enhancement.
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  Data: <searchLink fieldCode="AU" term="%22Liu+S%22">Liu S</searchLink>; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China; Guangdong Key Laboratory of Big Data Analysis and Processing, Guangzhou 510665, China.<br /><searchLink fieldCode="AU" term="%22Ouyang+J%22">Ouyang J</searchLink>; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China.<br /><searchLink fieldCode="AU" term="%22Wu+X%22">Wu X</searchLink>; Zhongshan Ophthalmic Center State Key Laboratory of Ophthalmology, Sun Yat-Sen University, Guangzhou, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Xu+F%22">Xu F</searchLink>; Qilu Hospital, Shandong University, Jinan, China.<br /><searchLink fieldCode="AU" term="%22Zhou+Y%22">Zhou Y</searchLink>; Shenzhen Institute of Information Technology, Shenzhen, China.<br /><searchLink fieldCode="AU" term="%22Wang+X%22">Wang X</searchLink>; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China.<br /><searchLink fieldCode="AU" term="%22Zhang+H%22">Zhang H</searchLink>; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China.<br /><searchLink fieldCode="AU" term="%22Wang+K%22">Wang K</searchLink>; Guangdong Zhixin New Energy Technology Co., Ltd., Guangzhou, China. Electronic address: 1586547395@qq.com.<br /><searchLink fieldCode="AU" term="%22Lu+X%22">Lu X</searchLink>; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China; Guangdong Provincial Key Laboratory of Intellectual Property & Big Data, Guangzhou 510665, China. Electronic address: bruda@126.com.
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        Value: 10.1016/j.pdpdt.2026.105475
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        Text: English
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      – TitleFull: DSEGAN: Detail and structure enhanced generative adversarial network for fundus image enhancement.
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              M: 06
              Text: 2026 Jun
              Type: published
              Y: 2026
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