Learning Retinal Patterns from Multimodal Images

The training of deep neural networks usually requires a vast amount of annotated data, which is expensive to obtain in clinical environments. In this work, we propose the use of complementary medical image modalities as an alternative to reduce the required annotated data. The self-supervised traini...

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Bibliographic Details
Main Authors: Álvaro S. Hervella, José Rouco, Jorge Novo, Marcos Ortega
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Proceedings
Subjects:
Online Access:http://www.mdpi.com/2504-3900/2/18/1195