Skip to main content
Fig. 3 | Eye and Vision

Fig. 3

From: Machine learning helps improve diagnostic ability of subclinical keratoconus using Scheimpflug and OCT imaging modalities

Fig. 3

Fisher’s score of each variable of different classifiers to discriminate subclinical KC eyes from normal eyes. For subclinical KC eyes, using the Pentacam HR system alone, the features contributing to discrimination most were the maximum elevation values in the 5 mm area (a). Using UHR-OCT alone or combining it with the Pentacam HR system, the variable that contributed to discrimination most by ranking was EPV (b, c). KC: keratoconus. UHR-OCT: Ultra-high-resolution optical coherence tomography; EPV: epithelium profile variation

Back to article page

Eye and Vision

ISSN: 2326-0254