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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...

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Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Cyhoeddwyd yn:Eye Vis (Lond)
Prif Awduron: Herber, Robert, Pillunat, Lutz E., Raiskup, Frederik
Fformat: Artigo
Iaith:Inglês
Cyhoeddwyd: BioMed Central 2021
Pynciau:
Mynediad Ar-lein:https://ncbi.nlm.nih.gov/pmc/articles/PMC8167942/
https://ncbi.nlm.nih.gov/pubmed/34059127
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40662-021-00244-4
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