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0011_exact/README_0011_exact.md

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+# EXACT'09 – Extraction of Airways from CT
+
+## License
+The original data sets and associated segmentation data downloaded here, or any data derived from these data sets, must not be given nor redistributed under any circumstances to persons not belonging to the registered team.
+
+## Citation
+Paper BibTeX:
+
+```bibtex
+@article{lo2012extraction,
+  title={Extraction of airways from CT (EXACT'09)},
+  author={Lo, Pechin and Van Ginneken, Bram and Reinhardt, Joseph M and Yavarna, Tarunashree and De Jong, Pim A and Irving, Benjamin and Fetita, Catalin and Ortner, Margarete and Pinho, R{\^o}mulo and Sijbers, Jan and others},
+  journal={IEEE Transactions on Medical Imaging},
+  volume={31},
+  number={11},
+  pages={2093--2107},
+  year={2012},
+  publisher={IEEE}
+}
+```
+
+
+## Dataset description
+The goal of the EXACT study is to compare algorithms to extract the airway tree from chest CT scans using a common dataset and performance evaluation method.
+
+**Challenge homepage**: https://image.diku.dk/exact/index.php
+
+**Number of CT volumes**: 40
+
+**Contrast**: Various scanning conditions (contrast and non-contrast)
+
+**CT body coverage**: Chest
+
+**Does the dataset include any ground truth annotations?**: Yes
+
+**Original GT annotation targets**: Airway trees
+
+**Number of annotated CT volumes**: -
+
+**Annotator**: Algorithmic segmentation with visual scoring by trained observers
+
+**Acquisition centers**: Eight institutions
+
+**Pathology/Disease**: From healthy subjects to severe airway and lung abnormalities
+
+**Original dataset download link**: -
+
+**Original dataset format**: DICOM