Upload README_0017_lola11.md

0017_lola11/README_0017_lola11.md

@@ -0,0 +1,52 @@
+# 
+
+## License
+Customized license:  
+The downloaded data or any data derived from it may not be given or redistributed to anyone outside the registered team. Data may only be used for preparing an entry to be submitted on the LOLA11 challenge website, and may not be used for other scientific studies or for training/developing other algorithms, including those in commercial products.
+
+The organizers do not claim ownership or rights to algorithms or uploaded documents, and do not intend to restrict the publication of methods using the LOLA11 data.
+
+
+## Citation
+Paper BibTeX:
+
+```bibtex
+@misc{lola11,
+  author       = "{Eva van Rikxoort and Bram van Ginneken and Sjoerd Kerkstra}",
+  title        = "{LObe and Lung Analysis 2011 (LOLA11)}",
+  year         = "2011",
+  howpublished = "\url{https://lola11.grand-challenge.org/}",
+}
+```
+
+
+## Dataset description
+LOLA11 aims to evaluate the performance of lung and lobe segmentation methods for chest CT scans using a common reference standard. The dataset contains chest CT scans with varying pathologies, enabling fair and consistent comparison of algorithms under identical evaluation criteria. Initially launched in 2011, LOLA11 continues to run on grand-challenge.org with automated evaluation, and new teams are welcome to submit results at any time.
+
+
+**Challenge homepage**: https://lola11.grand-challenge.org/Home/
+
+**Number of CT volumes**: 55
+
+**Contrast**: -
+
+**CT body coverage**: Chest
+
+**Does the dataset include any ground truth annotations?**: Yes
+
+**Original GT annotation targets**: Lung lobes
+
+**Number of annotated CT volumes**: -
+
+**Annotator**: -
+
+**Acquisition centers**: -
+
+**Pathology/Disease**: Various pathologies and abnormalities
+
+**Original dataset download link**: https://zenodo.org/records/4708800
+
+**Original dataset format**: .mha
+
+## Note
+In accordance with the license, CADS does **not** redistribute LOLA images. Please download the original images directly from the provided Zenodo link above.