A Deep Learning Approach to Denoise Optical Coherence Tomography Images of the Optic Nerve Head
10.1038/s41598-019-51062-7
Saved in:
Main Authors: | Devalla, S.K., Subramanian, G., Pham, T.H., Wang, X., Perera, S., Tun, T.A., Aung, T., Schmetterer, L., Thiéry, A.H., Girard, M.J.A. |
---|---|
Other Authors: | BIOMEDICAL ENGINEERING |
Format: | Article |
Published: |
Nature Publishing Group
2021
|
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/212099 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
A deep learning approach to denoise optical coherence tomography images of the optic nerve head
by: Devalla, Sripad Krishna, et al.
Published: (2020) -
A deep learning approach to digitally stain optical coherence tomography images of the optic nerve head
by: Devalla, S.K., et al.
Published: (2021) -
Longitudinal assessment of optic nerve head changes using optical coherence tomography in a primate microbead model of ocular hypertension
by: Chan, A.S.Y., et al.
Published: (2021) -
OCT-GAN: Single step shadow and noise removal from optical coherence tomography images of the human optic nerve head
by: CHEONG, H. A. R. I. S., et al.
Published: (2022) -
Modeling the origin of the ocular pulse and its impact on the optic nerve head
by: Jin, Y., et al.
Published: (2021)