Learning Retinal Patterns from Multimodal Images

Proceedings

José Rouco¹  Álvaro S. Hervella¹  Marcos Ortega¹  Jorge Novo¹ 

[1] CITIC—Research Center of Information and Communication Technologies, University of A Coruña, 17051 A Coruña, Spain;

关键词: self-supervised;    multimodal;    retinography;    angiography;   

DOI  :  10.3390/proceedings2181195

来源: DOAJ

【 摘 要 】

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 training of a reconstruction task between paired multimodal images can be used to learn about the image contents without using any label. Experiments performed with the multimodal setting formed by retinography and fluorescein angiography demonstrate that the proposed task produces the recognition of relevant retinal structures.

【 授权许可】

Unknown