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Detection of Early Signs of Diabetic Retinopathy Based on Textural and Morphological Information in Fundus Images
Estimated blind people in the world will exceed 40 million by 2025. To develop novel algorithms based on fundus image descriptors that allow the automatic classification of retinal tissue into healthy and pathological in early stages is necessary. In this paper, we focus on one of the most common pa...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7071097/ https://www.ncbi.nlm.nih.gov/pubmed/32069912 http://dx.doi.org/10.3390/s20041005 |