Quantifying Geographic Atrophy in Age-Related Macular Degeneration: A Comparative Analysis Across 12 Deep Learning Models-Reference-Cited by-同舟云学术

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Quantifying Geographic Atrophy in Age-Related Macular Degeneration: A Comparative Analysis Across 12 Deep Learning Models

Published:2024-07-24 Issue:8 Volume:65 Page:42
ISSN:1552-5783
Container-title:Investigative Ophthalmology & Visual Science
language:en
Short-container-title:Invest. Ophthalmol. Vis. Sci.

Author:

Safai Apoorva¹²,Froines Colin³,Slater Robert¹,Linderman Rachel E.¹³,Bogost Jacob¹,Pacheco Caleb¹,Voland Rickie³,Pak Jeong³,Tiwari Pallavi²,Channa Roomasa¹,Domalpally Amitha¹³

Affiliation:

1. A-EYE Research Unit, Dept of Ophthalmology and Visual Sciences, University of Wisconsin, Madison, Wisconsin, United States

2. Depts of Radiology and Biomedical Engineering, University of Wisconsin, Madison, Wisconsin, United States

3. Wisconsin Reading Center, Dept of Ophthalmology and Visual Sciences, University of Wisconsin, Madison, Wisconsin, United States

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Reference30 articles.

1. A survey on deep learning in medical image analysis;Litjens;Med Image Anal,2017

2. Prevalence of age-related macular degeneration in the US population;Klein;Arch Ophthalmol,2011

3. Progression of geographic atrophy in age-related macular degeneration: AREDS2 report number 16;Keenan;Ophthalmology,2018

4. Imaging protocols in clinical studies in advanced age-related macular degeneration: recommendations from classification of atrophy consensus meetings;Holz;Ophthalmology,2017

5. Report from the NEI/FDA endpoints workshop on age-related macular degeneration and inherited retinal diseases;Csaky;Invest Ophthalmol Vis Sci,2017

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