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DDLSNet: A Novel Deep Learning-Based System for Grading Funduscopic Images for Glaucomatous Damage

Purpose: To report an image analysis pipeline, DDLSNet, consisting of a rim segmentation (RimNet) branch and a disc size classification (DiscNet) branch to automate estimation of the disc damage likelihood scale (DDLS). Design: Retrospective observational. Participants: RimNet and DiscNet were devel...

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Bibliographic Details
Main Authors: Haroon Adam Rasheed, BS, Tyler Davis, MS, Esteban Morales, MS, Zhe Fei, MS, PhD, Lourdes Grassi, MD, Agustina De Gainza, MD, Kouros Nouri-Mahdavi, MD, MS, Joseph Caprioli, MD
Format: Artigo
Language:Inglês
Published: Elsevier 2023-06-01
Series:Ophthalmology Science
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Online Access:http://www.sciencedirect.com/science/article/pii/S2666914522001440
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