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Assessment of Deep Learning-Generated Ultra-Widefield Fluorescein Angiography From Fundus Images in Diabetic Retinopathy.

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Bibliographic Details
Title: Assessment of Deep Learning-Generated Ultra-Widefield Fluorescein Angiography From Fundus Images in Diabetic Retinopathy.
Authors: Park SE; Department of Ophthalmology, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Bucheon, Gyeonggi-do, Republic of Korea., Kim JH; Department of Ophthalmology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea., Lee SH; Department of Ophthalmology, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Bucheon, Gyeonggi-do, Republic of Korea., Ra H; Department of Ophthalmology, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Bucheon, Gyeonggi-do, Republic of Korea.; Department of Ophthalmology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea., Baek J; Department of Ophthalmology, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Bucheon, Gyeonggi-do, Republic of Korea.; Department of Ophthalmology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Source: Translational vision science & technology [Transl Vis Sci Technol] 2026 Jun 01; Vol. 15 (6), pp. 12.
Publication Type: Journal Article
Journal Info: Publisher: Association for Research in Vision and Ophthalmology Country of Publication: United States NLM ID: 101595919 Publication Model: Print Cited Medium: Internet ISSN: 2164-2591 (Electronic) Linking ISSN: 21642591 NLM ISO Abbreviation: Transl Vis Sci Technol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2164-2591
DOI:10.1167/tvst.15.6.12