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cs.CV2018★ 37 cited
Embedded deep learning in ophthalmology: Making ophthalmic imaging smarter
Petteri Teikari, Raymond P. Najjar, Leopold Schmetterer +1
Deep learning has recently gained high interest in ophthalmology, due to its ability to detect clinically significant features for diagnosis and prognosis. Despite these significan…
cs.CV2018
A Deep Learning Approach to Denoise Optical Coherence Tomography Images of the Optic Nerve Head
Sripad Krishna Devalla, Giridhar Subramanian, Tan Hung Pham +7
Purpose: To develop a deep learning approach to de-noise optical coherence tomography (OCT) B-scans of the optic nerve head (ONH). Methods: Volume scans consisting of 97 horizontal…