Automated Retinal Image Analysis for Evaluation of Focal Hyperpigmentary Changes in Intermediate Age-Related Macular Degeneration.

ABSTRACT:

Purpose

To develop and evaluate a software tool for automated detection of focal hyperpigmentary changes (FHC) in eyes with intermediate age-related macular degeneration (AMD).

Methods

Color fundus (CFP) and autofluorescence (AF) photographs of 33 eyes with FHC of 28 AMD patients (mean age 71 years) from the prospective longitudinal natural history MODIAMD-study were included. Fully automated to semiautomated registration of baseline to corresponding follow-up images was evaluated. Following the manual circumscription of individual FHC (four different readings by two readers), a machine-learning algorithm was evaluated for automatic FHC detection.

Results

The overall pixel distance error for the semiautomated (CFP follow-up to CFP baseline: median 5.7; CFP to AF image

SUBMITTER: Schmitz-Valckenberg S 

PROVIDER: S-EPMC4782823 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature