.. -*- coding: utf-8 -*- .. _bob.db.chasedb1: =============================== CHASE_DB1 Retinal Image Datbase =============================== This package is part of the signal-processing and machine learning toolbox Bob_. It provides an interface for the `CHASE_DB1 Dataset`_. This package does not contain the original data files, which need to be obtained through the link above. The dataset contains 28 eye fundus images with a resolution of 1280 x 960. Two sets of ground-truth vessel annotations are available. The first set is commonly used for training and testing. The second set acts as a "human" baseline. If you use this package, please cite the authors of the database:: @ARTICLE{6224174, author={M. M. {Fraz} and P. {Remagnino} and A. {Hoppe} and B. {Uyyanonvara} and A. R. {Rudnicka} and C. G. {Owen} and S. A. {Barman}}, journal={IEEE Transactions on Biomedical Engineering}, title={An Ensemble Classification-Based Approach Applied to Retinal Blood Vessel Segmentation}, year={2012}, volume={59}, number={9}, pages={2538-2548}, doi={10.1109/TBME.2012.2205687}, ISSN={0018-9294}, month={Sep.} } .. toctree:: :maxdepth: 2 guide py_api .. todolist:: .. include:: links.rst .. _chase_db1 dataset: https://blogs.kingston.ac.uk/retinal/chasedb1/