Search Results for author:
Found 1 papers, 0 papers with code
Performance of a deep learning system for detection of referable diabetic retinopathy in real clinical settings
Background: To determine the ability of a commercially available deep learning system, RetCAD v. 1. 3. 1 (Thirona, Nijmegen, The Netherlands) for the automatic detection of referable diabetic retinopathy (DR) on a dataset of colour fundus images acquired during routine clinical practice in a tertiary hospital screening program, analyzing the reduction of workload that can be released incorporating this artificial intelligence-based technology.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
