Automatic retinal image analysis methods using colour fundus images for screening glaucomatous optic neuropathy.

ABSTRACT:

Objectives

Train an automatic retinal image analysis (ARIA) method to screen glaucomatous optic neuropathy (GON) on non-mydriatic retinal images labelled with the additional results of optical coherence tomography (OCT) and assess different models for the GON classification.

Methods

All the images were obtained from the hospital for training and 10-fold cross-validation. Two methods were used to improve the classification performance: (1) using images labelled with the additional results of OCT as the reference standard and (2) generating models using retinal features from the entire images, the region of interest (ROI) of the optic disc, and the ROI of the macula, and the combination of all the features.

Results

Overall, we collected 1338 images with paired OCT scans

SUBMITTER: Shi C 

PROVIDER: S-EPMC11429265 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature