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...
Main Authors: | Petteri Teikari, Raymond P. Najjar, Leopold Schmetterer, Dan Milea |
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Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2019-03-01
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Series: | Therapeutic Advances in Ophthalmology |
Online Access: | https://doi.org/10.1177/2515841419827172 |
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