Automatic Detection of Diabetic Retinopathy in Retinal Fundus Photographs Based on Deep Learning Algorithm

PURPOSE: To achieve automatic diabetic retinopathy (DR) detection in retinal fundus photographs through the use of a deep transfer learning approach using the Inception-v3 network. METHODS: A total of 19,233 eye fundus color numerical images were retrospectively obtained from 5278 adult patients pre...

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Detalles Bibliográficos
Autores principales: Li, Feng, Liu, Zheng, Chen, Hua, Jiang, Minshan, Zhang, Xuedian, Wu, Zhizheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2019
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6855298/
https://www.ncbi.nlm.nih.gov/pubmed/31737428
http://dx.doi.org/10.1167/tvst.8.6.4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6855298/
https://www.ncbi.nlm.nih.gov/pubmed/31737428
http://dx.doi.org/10.1167/tvst.8.6.4

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