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Predicting Keratoconus Progression and Need for Corneal Crosslinking Using Deep Learning
We aimed to predict keratoconus progression and the need for corneal crosslinking (CXL) using deep learning (DL). Two hundred and seventy-four corneal tomography images taken by Pentacam HR(®) (Oculus, Wetzlar, Germany) of 158 keratoconus patients were examined. All patients were examined two times...
| 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/PMC7923054/ https://www.ncbi.nlm.nih.gov/pubmed/33670732 http://dx.doi.org/10.3390/jcm10040844 |