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20172024
most citedGrader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy

576 citations · 879 across the 7 of their papers we have counts for

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Showing 2018Show all

2 papers · 1 filter

cs.CV2018★ 188 cited

Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photos

Sonia Phene, R. Carter Dunn, Naama Hammel +17

Glaucoma is the leading cause of preventable, irreversible blindness world-wide. The disease can remain asymptomatic until severe, and an estimated 50%-90% of people with glaucoma…

cs.CV2018★ 11 cited

Deep Learning vs. Human Graders for Classifying Severity Levels of Diabetic Retinopathy in a Real-World Nationwide Screening Program

Paisan Raumviboonsuk, Jonathan Krause, Peranut Chotcomwongse +29

Deep learning algorithms have been used to detect diabetic retinopathy (DR) with specialist-level accuracy. This study aims to validate one such algorithm on a large-scale clinical…