IOSTAR Retinal Vessel Segmentation Dataset¶

This package is part of the signal-processing and machine learning toolbox Bob. It provides an interface for the IOSTAR Dataset. This package does not contain the original data files, which need to be obtained through the link above.

The IOSTAR vessel segmentation dataset includes 30 images with a resolution of 1024 × 1024 pixels. All the vessels in this dataset are annotated by a group of experts working in the field of retinal image analysis. Additionally the dataset includes annotations for the optic disc and the artery/vein ratio.

If you use this package, please cite the authors of the database:

@ARTICLE{7530915,
    author={J. {Zhang} and B. {Dashtbozorg} and E. {Bekkers} and J. P. W. {Pluim} and R. {Duits} and B. M. {ter Haar Romeny}},
    journal={IEEE Transactions on Medical Imaging},
    title={Robust Retinal Vessel Segmentation via Locally Adaptive Derivative Frames in Orientation Scores},
    year={2016},
    volume={35},
    number={12},
    pages={2631-2644},
    ISSN={0278-0062},
    month={Dec},
}