Article

A label-free machine learning atlas of corneal aberration clusters from dual-surface Zernike coefficients: a retrospective cross-sectional study of 3,533 eyes

2026-04-25

Abstract excerpt

<title>Abstract</title> <p>Background Scalar indices summarise corneal aberrations by magnitude, but they do not describe the overall wavefront pattern. We investigated whether the full set of anterior and posterior corneal Zernike coefficients could identify candidate aberration clusters without using diagnostic labels. Methods We analysed Pentacam HR examinations from 3,533 right eyes at a single tertiary cen...

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Literature Corpus work: caf2e55a-3258-52ac-ae0b-76fceeefa59f
DOI: 10.21203/rs.3.rs-9420086/v1

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