A Deep Learning Segmentation Model for Detection of Active Proliferative Diabetic Retinopathy

A Deep Learning Segmentation Model for Detection of Active Proliferative Diabetic Retinopathy

Abstract Introduction Existing deep learning (DL) algorithms lack the capability to accurately identify patients in immediate need of treatment for proliferative diabetic retinopathy (PDR). We aimed to develop a DL segmentation model to detect active PDR in six-field retinal images by the annotation...

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Bibliographic Details
Main Authors: Sebastian Dinesen, Marianne G. Schou, Christoffer V. Hedegaard, Yousif Subhi, Thiusius R. Savarimuthu, Tunde Peto, Jakob K. H. Andersen, Jakob Grauslund
Format: Article
Language:English
Published: Adis, Springer Healthcare 2025-03-01
Series:Ophthalmology and Therapy
Subjects:
Deep learning
Proliferative diabetic retinopathy
Black box elimination
New vessels
Preretinal hemorrhages
Online Access:https://doi.org/10.1007/s40123-025-01127-w
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https://doi.org/10.1007/s40123-025-01127-w

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