Differentiating Choroidal Melanomas and Nevi Using a Self-Supervised Deep Learning Model Applied to Clinical Fundoscopy Images

Testing the validity of a self-supervised deep learning (DL) model, RETFound, for use on posterior uveal (choroidal) melanoma (UM) and nevus differentiation. Case-control study. Ultrawidefield fundoscopy images, both color and autofluorescence, were used for this study, obtained from 4255 patients s...

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Bibliographic Details
Published in:	Ophthalmology science (Online) Vol. 5; no. 2; p. 100647
Main Authors:	Jackson, Max, Kalirai, Helen, Hussain, Rumana N., Heimann, Heinrich, Zheng, Yalin, Coupland, Sarah E.
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier Inc 01.03.2025 Elsevier
Subjects:	Choroidal melanoma Deep learning Foundation models Fundoscopy Nevi Ophthalmology Deep learning Foundation models Fundoscopy AI DL UM AUROC Choroidal melanoma Nevi LBD area under the receiver operating characteristic curve uveal melanoma artificial intelligence largest basal diameter
ISSN:	2666-9145, 2666-9145
Online Access:	Get full text
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