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Development of a classification system based on corneal biomechanical properties using artificial intelligence predicting keratoconus severity
BACKGROUND: To investigate machine-learning (ML) algorithms to differentiate corneal biomechanical properties between different topographical stages of keratoconus (KC) by dynamic Scheimpflug tonometry (CST, Corvis ST, Oculus, Wetzlar, Germany). In the following, ML models were used to predict the s...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8167942/ https://www.ncbi.nlm.nih.gov/pubmed/34059127 http://dx.doi.org/10.1186/s40662-021-00244-4 |