Deep Learning Fundus Image Analysis for Diabetic Retinopathy and Macular Edema Grading.

ABSTRACT: Diabetes is a globally prevalent disease that can cause visible microvascular complications such as diabetic retinopathy and macular edema in the human eye retina, the images of which are today used for manual disease screening and diagnosis. This labor-intensive task could greatly benefit from automatic detection using deep learning technique. Here we present a deep learning system that identifies referable diabetic retinopathy comparably or better than presented in the previous studies, although we use only a small fraction of images (<1/4) in training but are aided with higher image resolutions. We also provide novel results for five different screening and clinical grading systems for diabetic retinopathy and macular edema classification, including state-of-the-art results for accurate

SUBMITTER: Sahlsten J 

PROVIDER: S-EPMC6656880 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature