Lataa...
A feature agnostic approach for glaucoma detection in OCT volumes
Optical coherence tomography (OCT) based measurements of retinal layer thickness, such as the retinal nerve fibre layer (RNFL) and the ganglion cell with inner plexiform layer (GCIPL) are commonly employed for the diagnosis and monitoring of glaucoma. Previously, machine learning techniques have rel...
Tallennettuna:
| Julkaisussa: | PLoS One |
|---|---|
| Päätekijät: | , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Public Library of Science
2019
|
| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6602191/ https://ncbi.nlm.nih.gov/pubmed/31260494 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0219126 |
| Tagit: |
Lisää tagi
Ei tageja, Lisää ensimmäinen tagi!
|