A deep learning approach to digitally stain optical coherence tomography images of the optic nerve head
10.1167/iovs.17-22617
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Association for Research in Vision and Ophthalmology Inc.
2021
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sg-nus-scholar.10635-2101342024-04-15T12:29:23Z A deep learning approach to digitally stain optical coherence tomography images of the optic nerve head Devalla, S.K. Chin, K.S. Mari, J.-M. Tun, T.A. Strouthidis, N. Aung, T. Thiéry, A.H. Girard, M.J.A. OPHTHALMOLOGY STATISTICS & APPLIED PROBABILITY BIOMEDICAL ENGINEERING Adaptive compensation Artificial intelligence Deep learning Digital staining Glaucoma Optic nerve head Optical coherence tomography 10.1167/iovs.17-22617 Investigative Ophthalmology and Visual Science 59 1 63-74 2021-12-09T05:04:43Z 2021-12-09T05:04:43Z 2018 Article Devalla, S.K., Chin, K.S., Mari, J.-M., Tun, T.A., Strouthidis, N., Aung, T., Thiéry, A.H., Girard, M.J.A. (2018). A deep learning approach to digitally stain optical coherence tomography images of the optic nerve head. Investigative Ophthalmology and Visual Science 59 (1) : 63-74. ScholarBank@NUS Repository. https://doi.org/10.1167/iovs.17-22617 0146-0404 https://scholarbank.nus.edu.sg/handle/10635/210134 Attribution-NonCommercial-NoDerivatives 4.0 International https://creativecommons.org/licenses/by-nc-nd/4.0/ Association for Research in Vision and Ophthalmology Inc. Scopus OA2018 |
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National University of Singapore |
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NUS Library |
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Asia |
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Singapore Singapore |
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| topic |
Adaptive compensation Artificial intelligence Deep learning Digital staining Glaucoma Optic nerve head Optical coherence tomography |
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Adaptive compensation Artificial intelligence Deep learning Digital staining Glaucoma Optic nerve head Optical coherence tomography Devalla, S.K. Chin, K.S. Mari, J.-M. Tun, T.A. Strouthidis, N. Aung, T. Thiéry, A.H. Girard, M.J.A. A deep learning approach to digitally stain optical coherence tomography images of the optic nerve head |
| description |
10.1167/iovs.17-22617 |
| author2 |
OPHTHALMOLOGY |
| author_facet |
OPHTHALMOLOGY Devalla, S.K. Chin, K.S. Mari, J.-M. Tun, T.A. Strouthidis, N. Aung, T. Thiéry, A.H. Girard, M.J.A. |
| format |
Article |
| author |
Devalla, S.K. Chin, K.S. Mari, J.-M. Tun, T.A. Strouthidis, N. Aung, T. Thiéry, A.H. Girard, M.J.A. |
| author_sort |
Devalla, S.K. |
| title |
A deep learning approach to digitally stain optical coherence tomography images of the optic nerve head |
| title_short |
A deep learning approach to digitally stain optical coherence tomography images of the optic nerve head |
| title_full |
A deep learning approach to digitally stain optical coherence tomography images of the optic nerve head |
| title_fullStr |
A deep learning approach to digitally stain optical coherence tomography images of the optic nerve head |
| title_full_unstemmed |
A deep learning approach to digitally stain optical coherence tomography images of the optic nerve head |
| title_sort |
deep learning approach to digitally stain optical coherence tomography images of the optic nerve head |
| publisher |
Association for Research in Vision and Ophthalmology Inc. |
| publishDate |
2021 |
| url |
https://scholarbank.nus.edu.sg/handle/10635/210134 |
| _version_ |
1800915213131710464 |