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A deep learning approach to predict visual field using optical coherence tomography
We developed a deep learning architecture based on Inception V3 to predict visual field using optical coherence tomography (OCT) imaging and evaluated its performance. Two OCT images, macular ganglion cell-inner plexiform layer (mGCIPL) and peripapillary retinal nerve fibre layer (pRNFL) thicknesses...
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| Publicat a: | PLoS One |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7337305/ https://ncbi.nlm.nih.gov/pubmed/32628672 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0234902 |
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