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CNNs for Automatic Glaucoma Assessment using Fundus Images: An Extensive Validation

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CNNs for Automatic Glaucoma Assessment using Fundus Images: An Extensive Validation

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Díaz-Pinto, AY.; Morales, S.; Naranjo Ornedo, V.; Köhler, T.; Mossi García, JM.; Navea, A. (2019). CNNs for Automatic Glaucoma Assessment using Fundus Images: An Extensive Validation. BioMedical Engineering OnLine. 18(29):1-19. https://doi.org/10.1186/s12938-019-0649-y

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Title: CNNs for Automatic Glaucoma Assessment using Fundus Images: An Extensive Validation
Author: Díaz-Pinto, Andrés Yesid Morales, Sandra Naranjo Ornedo, Valeriana Köhler, Thomas Mossi García, José Manuel Navea, Amparo
UPV Unit: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Issued date:
Abstract:
[EN] Background: Most current algorithms for automatic glaucoma assessment using fundus images rely on handcrafted features based on segmentation, which are affected by the performance of the chosen segmentation method and ...[+]
Subjects: Glaucoma , ACRIMA database , Fundus Images , CNN , Fine-Tuning
Copyrigths: Reconocimiento (by)
Source:
BioMedical Engineering OnLine. (issn: 1475-925X )
DOI: 10.1186/s12938-019-0649-y
Publisher:
Springer (Biomed Central Ltd.)
Publisher version: https://doi.org/10.1186/s12938-019-0649-y
Project ID:
info:eu-repo/grantAgreement/EC/H2020/732613/EU/Glaucoma – Advanced, LAbel-free High resolution Automated OCT Diagnostics/
GV/GRISOLIA/2015/027
info:eu-repo/grantAgreement/MINECO//TIN2013-46751-R/ES/ANALISIS DE IMAGEN DE FONDO DE OJO PARA CRIBADO AUTOMATICO DE ENFERMEDADES OFTALMOLOGICAS/
Thanks:
This work was supported by the Ministerio de Economia y Competitividad of Spain, Project ACRIMA [TIN2013-46751-R] and the Project GALAHAD [H2020-ICT-2016-2017, 732613]. In particular, the work of Andres Diaz-Pinto has been ...[+]
Type: Artículo

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