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What is Machine Learning for Keratoconus Detection about?

The aim of this paper is to develop and check a machine learning algorithm that is ready to find subclinical keratoconus at early stages. The projected model may aid physicians in detection of corneal Ectasia that is otherwise tough through subjective evaluations, considerably at the diagnosis and early stages of the cornea.

Author

SAMREEN FIZA

Language

EN