Leuven-Haifa High-Resolution Fundus Image Dataset for Retinal Blood Vessel Segmentation and Glaucoma Diagnosis

Overview

Journal Sci Data

Specialty Science

Date 2024 Feb 29

PMID 38424105

Authors

Jan van Eijgen

Jonathan Fhima

Marie-Isaline Billen Moulin-Romsee

Joachim A Behar

Eirini Christinaki

Ingeborg Stalmans

Affiliations

Soon will be listed here.

Abstract

The Leuven-Haifa dataset contains 240 disc-centered fundus images of 224 unique patients (75 patients with normal tension glaucoma, 63 patients with high tension glaucoma, 30 patients with other eye diseases and 56 healthy controls) from the University Hospitals of Leuven. The arterioles and venules of these images were both annotated by master students in medicine and corrected by a senior annotator. All senior segmentation corrections are provided as well as the junior segmentations of the test set. An open-source toolbox for the parametrization of segmentations was developed. Diagnosis, age, sex, vascular parameters as well as a quality score are provided as metadata. Potential reuse is envisioned as the development or external validation of blood vessels segmentation algorithms or study of the vasculature in glaucoma and the development of glaucoma diagnosis algorithms. The dataset is available on the KU Leuven Research Data Repository (RDR).

Citing Articles

Leuven-Haifa High-Resolution Fundus Image Dataset for Retinal Blood Vessel Segmentation and Glaucoma Diagnosis.

van Eijgen J, Fhima J, Billen Moulin-Romsee M, Behar J, Christinaki E, Stalmans I Sci Data. 2024; 11(1):257.

PMID: 38424105 PMC: 10904846. DOI: 10.1038/s41597-024-03086-6.

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