- Authors*
Elie Abitbol, Alexandra Miere, Jean- Baptiste Excoffier, Carl-Joe Mehanna, Francesca Amoroso, Samuel Kerr, Matthieu Ortala, Eric H Souied
*Author details available on the publication
- Reference
What is already known about this subject?
Ultra-wide field imaging has been previously used to distinguish retinal vascular diseases from controls using deep learning, but no study has aimed at distinguishing multiple retinal vascular diseases.
What are the new findings?
By using a deep learning classifier, multiple retinal vascular diseases may be distinguished, with an accuracy of 88.4%.
How might these results change the focus of research or clinical practice?
A deep learning classifier may be a useful tool in areas with a shortage of ophthalmic care.
