Non-uniform Label Smoothing for Diabetic Retinopathy Grading from Retinal Fundus Images with Deep Neural Networks

PURPOSE: Introducing a new technique to improve deep learning (DL) models designed for automatic grading of diabetic retinopathy (DR) from retinal fundus images by enhancing predictions’ consistency. METHODS: A convolutional neural network (CNN) was optimized in three different manners to predict DR...

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Detalles Bibliográficos
Autores principales: Galdran, Adrian, Chelbi, Jihed, Kobi, Riadh, Dolz, José, Lombaert, Hervé, ben Ayed, Ismail, Chakor, Hadi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2020
Materias:
Special Issue
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7414697/
https://www.ncbi.nlm.nih.gov/pubmed/32832207
http://dx.doi.org/10.1167/tvst.9.2.34

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7414697/
https://www.ncbi.nlm.nih.gov/pubmed/32832207
http://dx.doi.org/10.1167/tvst.9.2.34

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