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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Association for Research in Vision and Ophthalmology
2020
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| Materias: | |
| 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 |