Embedded deep learning in ophthalmology: making ophthalmic imaging smarter

Deep learning has recently gained high interest in ophthalmology due to its ability to detect clinically significant features for diagnosis and prognosis. Despite these significant advances, little is known about the ability of various deep learning systems to be embedded within ophthalmic imaging d...

Descripción completa

Detalles Bibliográficos
Autores principales: Teikari, Petteri, Najjar, Raymond P., Schmetterer, Leopold, Milea, Dan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6425531/
https://www.ncbi.nlm.nih.gov/pubmed/30911733
http://dx.doi.org/10.1177/2515841419827172

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6425531/
https://www.ncbi.nlm.nih.gov/pubmed/30911733
http://dx.doi.org/10.1177/2515841419827172

Ejemplares similares