Correlation between corneal dynamic responses and keratoconus topographic parameters.

ABSTRACT:

Objective

To investigate the correlation between corneal biomechanical properties and topographic parameters using machine learning networks for automatic severity diagnosis and reference benchmark construction.

Methods

This was a retrospective study involving 31 eyes from 31 patients with keratonus. Two clustering approaches were used (i.e., shape-based and feature-based). The shape-based method used a keratoconus benchmark validated for indicating the severity of keratoconus. The feature-based method extracted imperative features for clustering analysis.

Results

There were strong correlations between the symmetric modes and the keratoconus severity and between the asymmetric modes and the location of the weak centroid. The Pearson product-moment correlation coeffici

SUBMITTER: Tai HY 

PROVIDER: S-EPMC9247384 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature