Algorithm Variability in Quantification of Epithelial Defect Size in Microbial Keratitis Images.

ABSTRACT:

Purpose

To investigate the sources of measurement variability when quantifying the morphology of microbial keratitis (MK) from slit-lamp photography (SLP) images using a semiautomated, image-analysis algorithm.

Methods

Prospectively enrolled patients with MK underwent SLP to obtain images of their epithelial defects (ED). Eyes were stained with fluorescein and imaged multiple times under blue light, at low and high magnifications. A masked research assistant chose the 3 best images and annotated each 3 times to provide seed regions corresponding to ED and healthy cornea. The algorithm returned the ED area for each seeded image. Eyes without EDs and algorithm failures were excluded. Variance components were estimated with a random effects model and intraclass correlation coef

SUBMITTER: Kriegel MF 

PROVIDER: S-EPMC7732187 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature