Unknown

Dataset Information

The RETA Benchmark for Retinal Vascular Tree Analysis.


ABSTRACT: Topological and geometrical analysis of retinal blood vessels could be a cost-effective way to detect various common diseases. Automated vessel segmentation and vascular tree analysis models require powerful generalization capability in clinical applications. In this work, we constructed a novel benchmark RETA with 81 labelled vessel masks aiming to facilitate retinal vessel analysis. A semi-automated coarse-to-fine workflow was proposed for vessel annotation task. During database construction, we strived to control inter-annotator and intra-annotator variability by means of multi-stage annotation and label disambiguation on self-developed dedicated software. In addition to binary vessel masks, we obtained other types of annotations including artery/vein masks, vascular skeletons, bifurcat

SUBMITTER: Lyu X 

PROVIDER: S-EPMC9273761 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature