A carregar...
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...
Na minha lista:
| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2020
|
| Assuntos: | |
| Acesso em linha: | 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 |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|