Longitudinal Screening for Diabetic Retinopathy in a Nationwide Screening Program: Comparing Deep Learning and Human Graders

OBJECTIVE: To evaluate diabetic retinopathy (DR) screening via deep learning (DL) and trained human graders (HG) in a longitudinal cohort, as case spectrum shifts based on treatment referral and new-onset DR. METHODS: We randomly selected patients with diabetes screened twice, two years apart within...

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Detalles Bibliográficos
Autores principales: Limwattanayingyong, Jirawut, Nganthavee, Variya, Seresirikachorn, Kasem, Singalavanija, Tassapol, Soonthornworasiri, Ngamphol, Ruamviboonsuk, Varis, Rao, Chetan, Raman, Rajiv, Grzybowski, Andrzej, Schaekermann, Mike, Peng, Lily H., Webster, Dale R., Semturs, Christopher, Krause, Jonathan, Sayres, Rory, Hersch, Fred, Tiwari, Richa, Liu, Yun, Ruamviboonsuk, Paisan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7758133/
https://www.ncbi.nlm.nih.gov/pubmed/33381600
http://dx.doi.org/10.1155/2020/8839376

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7758133/
https://www.ncbi.nlm.nih.gov/pubmed/33381600
http://dx.doi.org/10.1155/2020/8839376

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