Synthetic artificial intelligence using generative adversarial network for retinal imaging in detection of age-related macular degeneration.

ABSTRACT:

Introduction

Age-related macular degeneration (AMD) is one of the leading causes of vision impairment globally and early detection is crucial to prevent vision loss. However, the screening of AMD is resource dependent and demands experienced healthcare providers. Recently, deep learning (DL) systems have shown the potential for effective detection of various eye diseases from retinal fundus images, but the development of such robust systems requires a large amount of datasets, which could be limited by prevalence of the disease and privacy of patient. As in the case of AMD, the advanced phenotype is often scarce for conducting DL analysis, which may be tackled via generating synthetic images using Generative Adversarial Networks (GANs). This study aims to develop GAN-synthesized fu

SUBMITTER: Wang Z 

PROVIDER: S-EPMC10324667 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature