Automated measurement and correlation analysis of fundus tessellation and optic disc characteristics in myopia.

ABSTRACT: This study aims to quantify fundus tessellated (FT) density and optic disc (OD) morphology using deep learning (DL) techniques and to investigate the correlations between these fundus characteristics and refractive function in young patients with myopia. We constructed two DL-based segmentation models to delineate the FT, OD, peripapillary atrophy (PPA), and macula at a pixel-level resolution. The study sought to identify differences in fundus characteristics between eyes categorized as having high myopia versus mild or moderate myopia. Furthermore, the correlation between fundus measurements and various ocular parameters was statistically analyzed. Correlation analysis indicated that the spherical equivalent and axial length were significantly associated with all fundus measurements (p < 

SUBMITTER: Guo Z 

PROVIDER: S-EPMC11570608 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature