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Predicting the central 10 degrees visual field in glaucoma by applying a deep learning algorithm to optical coherence tomography images
We aimed to develop a model to predict visual field (VF) in the central 10 degrees in patients with glaucoma, by training a convolutional neural network (CNN) with optical coherence tomography (OCT) images and adjusting the values with Humphrey Field Analyzer (HFA) 24–2 test. The training dataset in...
Shranjeno v:
| izdano v: | Sci Rep |
|---|---|
| Main Authors: | , , , , , , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Nature Publishing Group UK
2021
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7838164/ https://ncbi.nlm.nih.gov/pubmed/33500462 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-79494-6 |
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