UZLF

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

Dataset Information
Modalities
Images
Introduced
2023
License
Unknown
Homepage

Overview

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).

Variants: UZLF

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
Retinal Vessel Segmentation VascX VascX Models: Model Ensembles for … 2024-09-24
Retinal Vessel Segmentation Automorph VascX Models: Model Ensembles for … 2024-09-24
Retinal Vessel Segmentation Little W-Net VascX Models: Model Ensembles for … 2024-09-24
Retinal Vessel Segmentation LUNet LUNet: Deep Learning for the … 2023-09-11
Retinal Vessel Segmentation Junior Ophtalmologist LUNet: Deep Learning for the … 2023-09-11

Research Papers

Recent papers with results on this dataset: