Paired and Unpaired Deep Generative Models on Multimodal Retinal Image Reconstruction

This work explores the use of paired and unpaired data for training deep neural networks in the multimodal reconstruction of retinal images. Particularly, we focus on the reconstruction of fluorescein angiography from retinography, which are two complementary representations of the eye fundus. The p...

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Bibliographic Details
Main Authors: Álvaro Hervella, José Rouco, Jorge Novo, Marcos Ortega
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Proceedings
Subjects:
Online Access:https://www.mdpi.com/2504-3900/21/1/45