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Detection of Myopia from Colour Fundus Photographs Using YOLO-Based Computer-Vision Models: A Comparison with Expert Ophthalmologists

2026-07-21

Abstract excerpt

<h4>Purpose: </h4> To evaluate the ability of computer vision models to detect myopia from standard colour fundus photographs and to compare their diagnostic performance with that of experienced ophthalmologists. <h4>Methods:</h4> A total of 324 retinal fundus images were labelled as myopic or non-myopic using cycloplegic subjective refraction. Images were acquired with a non-mydriatic 45° fundus camera and split...

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Literature Corpus work
6707e33e-51bb-5df2-81c3-5fc6d5d59f7f
DOI
10.20944/preprints202607.1495.v1
Open publication

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Detection of Myopia from Colour Fundus Photographs Using YOLO-Based Computer-Vision Models: A Comparison with Expert OphthalmologistsDOI 10.20944/preprints202607.1495.v1
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