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

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 population, and compare the algorithm performance with that of human graders. 25,326 gradable retinal images of patient...

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Hauptverfasser:	Raumviboonsuk, Paisan, Krause, Jonathan, Chotcomwongse, Peranut, Sayres, Rory, Raman, Rajiv, Widner, Kasumi, Campana, Bilson J L, Phene, Sonia, Hemarat, Kornwipa, Tadarati, Mongkol, Silpa-Acha, Sukhum, Limwattanayingyong, Jirawut, Rao, Chetan, Kuruvilla, Oscar, Jung, Jesse, Tan, Jeffrey, Orprayoon, Surapong, Kangwanwongpaisan, Chawawat, Sukulmalpaiboon, Ramase, Luengchaichawang, Chainarong, Fuangkaew, Jitumporn, Kongsap, Pipat, Chualinpha, Lamyong, Saree, Sarawuth, Kawinpanitan, Srirat, Mitvongsa, Korntip, Lawanasakol, Siriporn, Thepchatri, Chaiyasit, Wongpichedchai, Lalita, Corrado, Greg S, Peng, Lily, Webster, Dale R
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
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