In-Person Verification of Deep Learning Algorithm for Diabetic Retinopathy Screening Using Different Techniques Across Fundus Image Devices

PURPOSE: To evaluate the clinical performance of an automated diabetic retinopathy (DR) screening model to detect referable cases at Siriraj Hospital, Bangkok, Thailand. METHODS: A retrospective review of two sets of fundus photographs (Eidon and Nidek) was undertaken. The images were classified by...

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Detalles Bibliográficos
Autores principales: Wongchaisuwat, Nida, Trinavarat, Adisak, Rodanant, Nuttawut, Thoongsuwan, Somanus, Phasukkijwatana, Nopasak, Prakhunhungsit, Supalert, Preechasuk, Lukana, Wongchaisuwat, Papis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590162/
https://www.ncbi.nlm.nih.gov/pubmed/34767624
http://dx.doi.org/10.1167/tvst.10.13.17

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590162/
https://www.ncbi.nlm.nih.gov/pubmed/34767624
http://dx.doi.org/10.1167/tvst.10.13.17

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