Validation of Deep Convolutional Neural Network-based algorithm for detection of diabetic retinopathy – Artificial intelligence versus clinician for screening

PURPOSE: Deep learning is a newer and advanced subfield in artificial intelligence (AI). The aim of our study is to validate a machine-based algorithm developed based on deep convolutional neural networks as a tool for screening to detect referable diabetic retinopathy (DR). METHODS: An AI algorithm...

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Detalles Bibliográficos
Autores principales: Shah, Payal, Mishra, Divyansh K, Shanmugam, Mahesh P, Doshi, Bindiya, Jayaraj, Hariprasad, Ramanjulu, Rajesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7003578/
https://www.ncbi.nlm.nih.gov/pubmed/31957737
http://dx.doi.org/10.4103/ijo.IJO_966_19

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7003578/
https://www.ncbi.nlm.nih.gov/pubmed/31957737
http://dx.doi.org/10.4103/ijo.IJO_966_19

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