Identifying Mouse Autoimmune Uveitis from Fundus Photographs Using Deep Learning.

ABSTRACT:

Purpose

To develop a deep learning model for objective evaluation of experimental autoimmune uveitis (EAU), the animal model of posterior uveitis that reveals its essential pathological features via fundus photographs.

Methods

We developed a deep learning construct to identify uveitis using reference mouse fundus images and further categorized the severity levels of disease into mild and severe EAU. We evaluated the performance of the model using the area under the receiver operating characteristic curve (AUC) and confusion matrices. We further assessed the clinical relevance of the model by visualizing the principal components of features at different layers and through the use of gradient-weighted class activation maps, which presented retinal regions having the most signi

SUBMITTER: Sun J 

PROVIDER: S-EPMC7718814 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature