Cargando…
A Hybrid Deep Learning Construct for Detecting Keratoconus From Corneal Maps
PURPOSE: To develop and assess the accuracy of a hybrid deep learning construct for detecting keratoconus (KCN) based on corneal topographic maps. METHODS: We collected 3794 corneal images from 542 eyes of 280 subjects and developed seven deep learning models based on anterior and posterior eccentri...
| Autores principales: | , , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Association for Research in Vision and Ophthalmology
2021
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8684312/ https://www.ncbi.nlm.nih.gov/pubmed/34913952 http://dx.doi.org/10.1167/tvst.10.14.16 |