Application of Deep Learning for Advanced Detection and Quantification of Drusen in Nonexudative AMD From Retinal Multispectral Imaging

Journal article

Open access

Peer reviewed

Igor Kozak, Stephen H. Sinclair, Emily Zhang, Felipe Murati, Eungjoo Lee, Andrii Stepura, Ankita Dey and Nick Ribaric

Translational vision science & technology, v 14(11), 35

03 Nov 2025

PMID: 41268988

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https://doi.org/10.1167/tvst.14.11.35View

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age-related macular degeneration

artificial intelligence

deep learning

drusen

multispectral imaging

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Title: Application of Deep Learning for Advanced Detection and Quantification of Drusen in Nonexudative AMD From Retinal Multispectral Imaging
Creators: Igor Kozak (Corresponding Author) - University of Arizona
Stephen H. Sinclair - Drexel University Elkins Park Campus
Emily Zhang - Sino Biological (China)
Felipe Murati - University of Arizona
Eungjoo Lee - University of Arizona
Andrii Stepura - Spectral Sciences (United States)
Ankita Dey - Spectral Sciences (United States)
Nick Ribaric - Spectral Sciences (United States)
Publication Details: Translational vision science & technology, v 14(11), 35
Publisher: ARVO
Resource Type: Journal article
Language: English
Academic Unit: Pennsylvania College of Optometry (PCO)
Web of Science ID: WOS:001672575200015
Scopus ID: 2-s2.0-105022522793
Other Identifier: 991022197418604721

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