Drusen-aware model for age-related macular degeneration recognition.

ABSTRACT:

Introduction

The purpose of this study was to build an automated age-related macular degeneration (AMD) colour fundus photography (CFP) recognition method that incorporates confounders (other ocular diseases) and normal age-related changes by using drusen masks for spatial feature supervision.

Methods

A range of clinical sources were used to acquire 7588 CFPs. Contrast limited adaptive histogram equalisation was used for pre-processing. ResNet50 was used as the backbone network, and a spatial attention block was added to integrate prior knowledge of drusen features into the backbone. The evaluation metrics used were sensitivity, specificity and F1 score, which is the harmonic mean of precision and recall (sensitivity) and area under the receiver-operating characteristic (AUC

SUBMITTER: Pan J 

PROVIDER: S-EPMC10946718 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature