A Machine-Learning Model Based on Morphogeometric Parameters for RETICS Disease Classification and GUI Development

Resumen

This work presents a Graphics User Interface that applies two automated learning models based on machine-procured independent variables to assist ophthalmology professionals in keratoconus disease diagnosis and classification.