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Detection of Early Signs of Diabetic Retinopathy Based on Textural and Morphological Information in Fundus Images

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Detection of Early Signs of Diabetic Retinopathy Based on Textural and Morphological Information in Fundus Images

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Colomer, A.; Igual García, J.; Naranjo Ornedo, V. (2020). Detection of Early Signs of Diabetic Retinopathy Based on Textural and Morphological Information in Fundus Images. Sensors. 20(4):1-20. https://doi.org/10.3390/s20041005

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Título: Detection of Early Signs of Diabetic Retinopathy Based on Textural and Morphological Information in Fundus Images
Autor: Colomer, Adrián Igual García, Jorge Naranjo Ornedo, Valeriana
Entidad UPV: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Fecha difusión:
Resumen:
[EN] 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 ...[+]
Palabras clave: Biomedical image processing , Diabetic retinopathy , Classification , Granulometry-based descriptor , LBP , Hand-driven learning , Exudates , Microaneurysms
Derechos de uso: Reconocimiento (by)
Fuente:
Sensors. (eissn: 1424-8220 )
DOI: 10.3390/s20041005
Editorial:
MDPI AG
Versión del editor: https://doi.org/10.3390/s20041005
Código del Proyecto:
info:eu-repo/grantAgreement/MINECO//DPI2016-77869-C2-1-R/ES/SISTEMA DE INTERPRETACION DE IMAGENES HISTOPATOLOGICAS PARA LA DETECCION DE CANCER DE PROSTATA/
info:eu-repo/grantAgreement/GVA//PROMETEO%2F2019%2F109/
Agradecimientos:
This work has been partially supported by the Spanish Ministry of Economy and Competitiveness through project DPI2016-77869 and GVA through project PROMETEO/2019/109
Tipo: Artículo

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