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Comparison of Local Analysis Strategies for Exudate Detection in Fundus Images

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Comparison of Local Analysis Strategies for Exudate Detection in Fundus Images

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Pereira, J.; Colomer, A.; Naranjo Ornedo, V. (2018). Comparison of Local Analysis Strategies for Exudate Detection in Fundus Images. En Intelligent Data Engineering and Automated Learning – IDEAL 2018. Springer. 174-183. https://doi.org/10.1007/978-3-030-03493-1_19

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Metadatos del ítem

Título: Comparison of Local Analysis Strategies for Exudate Detection in Fundus Images
Autor: Pereira, Joana Colomer, Adrián Naranjo Ornedo, Valeriana
Entidad UPV: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Fecha difusión:
Resumen:
Diabetic Retinopathy (DR) is a severe and widely spread eye disease. Exudates are one of the most prevalent signs during the early stage of DR and an early detection of these lesions is vital to prevent the patient’s ...[+]
Palabras clave: Exudates , Superpixels , LBP , Granulometries , SVM
Derechos de uso: Reserva de todos los derechos
ISBN: 978-3-030-03492-4
Fuente:
Intelligent Data Engineering and Automated Learning – IDEAL 2018.
DOI: 10.1007/978-3-030-03493-1_19
Editorial:
Springer
Versión del editor: http://dx.doi.org/10.1007/978-3-030-03493-1_19
Título del congreso: International Conference on Intelligent Data Engineering and Automated Learning (IDEAL)
Lugar del congreso: Madrid, Spain
Fecha congreso: Noviembre 21-23,2018
Serie: Lecture Notes in Computer Science;11314
Código del Proyecto:
info:eu-repo/grantAgreement/EC/H2020/732613/EU/Glaucoma – Advanced, LAbel-free High resolution Automated OCT Diagnostics/
info:eu-repo/grantAgreement/MINECO//BES-2014-067889/ES/BES-2014-067889/
Agradecimientos:
This paper was supported by the European Union’s Horizon 2020 research and innovation programme under the Project GALAHAD [H2020-ICT2016-2017, 732613]. The work of Adri´an Colomer has been supported by the Spanish Government ...[+]
Tipo: Capítulo de libro Comunicación en congreso

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