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Deep Learning for Assessing the Corneal Endothelium from Specular Microscopy Images up to 1 Year after Ultrathin-DSAEK Surgery
PURPOSE: To present a fully automatic method to estimate the corneal endothelium parameters from specular microscopy images and to use it to study a one-year follow-up after ultrathin Descemet stripping automated endothelial keratoplasty. METHODS: We analyzed 383 post ultrathin Descemet stripping au...
Autores principales: | Vigueras-Guillén, Juan P., van Rooij, Jeroen, Engel, Angela, Lemij, Hans G., van Vliet, Lucas J., Vermeer, Koenraad A. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Association for Research in Vision and Ophthalmology
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7445361/ https://www.ncbi.nlm.nih.gov/pubmed/32884856 http://dx.doi.org/10.1167/tvst.9.2.49 |
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