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Retinal Image Synthesis and Semi-supervised Learning for Glaucoma Assessment

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Retinal Image Synthesis and Semi-supervised Learning for Glaucoma Assessment

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Díaz-Pinto, AY.; Colomer, A.; Naranjo Ornedo, V.; Morales, S.; Xu, Y.; Frangi, AF. (2019). Retinal Image Synthesis and Semi-supervised Learning for Glaucoma Assessment. IEEE Transactions on Medical Imaging. 1-8. https://doi.org/10.1109/TMI.2019.2903434

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/124279

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Title: Retinal Image Synthesis and Semi-supervised Learning for Glaucoma Assessment
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Issued date:
Abstract:
[EN] Recent works show that Generative Adversarial Networks (GANs) can be successfully applied to image synthesis and semi-supervised learning, where, given a small labelled database and a large unlabelled database, the ...[+]
Subjects: Glaucoma Assessment , Retinal Image Synthesis , Fundus Images , DCGAN , Medical imaging
Copyrigths: Reserva de todos los derechos
Source:
IEEE Transactions on Medical Imaging. (issn: 0278-0062 )
DOI: 10.1109/TMI.2019.2903434
Publisher:
Institute of Electrical and Electronics Engineers
Publisher version: https://doi.org/10.1109/TMI.2019.2903434
Project ID: info:eu-repo/grantAgreement/EC/H2020/732613/EU
Type: Artículo

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