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Fig. 4 | Eye and Vision

Fig. 4

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

Fig. 4

Fisher’s score of each variable of different classifiers to discriminate KC eyes from normal eyes. For KC eyes, using the Pentacam HR system alone and combining it with UHR-OCT, the feature that contributed to discrimination most by ranking was the maximum elevation value in the 5 mm area (a, c). Using UHR-OCT alone, the feature that contributed to discrimination most by ranking was SEI (I/S) (b). KC: keratoconus. UHR-OCT: Ultra-high-resolution optical coherence tomography; SEI (I/S): Localized thinning in the vertical meridian in the stroma

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Eye and Vision

ISSN: 2326-0254