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Forecasting Progressive Trends in Keratoconus by Means of a Time Delay Neural Network
Early and accurate detection of keratoconus progression is particularly important for the prudent, cost-effective use of corneal cross-linking and judicious timing of clinical follow-up visits. The aim of this study was to verify whether a progression could be predicted based on two prior tomography...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347247/ https://www.ncbi.nlm.nih.gov/pubmed/34362023 http://dx.doi.org/10.3390/jcm10153238 |