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0015_lndb/README_0015_lndb.md

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+# LNDb – Lung Nodule Database
+
+## License
+**CC BY-NC-ND 4.0**  
+[Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License](https://creativecommons.org/licenses/by-nc-nd/4.0/)
+
+## Citation
+Paper BibTeX:
+
+```bibtex
+@article{pedrosa2021lndb,
+  title={LNDb challenge on automatic lung cancer patient management},
+  author={Pedrosa, Jo{\~a}o and Aresta, Guilherme and Ferreira, Carlos and Atwal, Gurraj and Phoulady, Hady Ahmady and Chen, Xiaoyu and Chen, Rongzhen and Li, Jiaoliang and Wang, Liansheng and Galdran, Adrian and others},
+  journal={Medical image analysis},
+  volume={70},
+  pages={102027},
+  year={2021},
+  publisher={Elsevier}
+}
+```
+
+
+## Dataset description
+The Lung Nodule Database (LNDb) was developed as an external dataset to complement LIDC-IDRI, enabling external and comparable validation of computer-aided diagnosis systems. It contains 294 retrospectively collected CT scans from CHUSJ in Porto, Portugal, acquired between 2016 and 2018 under ethical approval and anonymised for research use.
+
+**Challenge homepage**: https://lndb.grand-challenge.org/Home/
+ 
+**Number of CT volumes**: 294
+
+**Contrast**: -
+
+**CT body coverage**: Chest
+
+**Does the dataset include any ground truth annotations?**: Yes
+
+**Original GT annotation targets**: Pulmonary nodules
+
+**Number of annotated CT volumes**: -
+
+**Annotator**: Human
+
+**Acquisition centers**: Centro Hospitalar e Universitário de São João in Porto, Portugal.
+
+**Pathology/Disease**: Pulmonary nodules for lung cancer screening and management
+
+**Original dataset download link**: https://zenodo.org/records/7153205#.Yz_oVHbMJPZ
+
+**Original dataset format**: mhd/.raw
+
+## Note
+In accordance with the license, CADS does **not** redistribute LNDb images. Please download the original images directly from the provided Zenodo link above.