Upload README_0003_kits21.md

0003_kits21/README_0003_kits21.md

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+# The Kidney and Kidney Tumor Segmentation Challenge （KiTS21）
+
+## License
+**CC BY-NC-SA 4.0**  
+[Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License](https://creativecommons.org/licenses/by-nc-sa/4.0/)
+
+
+## Citation
+Paper BibTeX:
+```bibtex
+@article{heller2021state,
+  title={The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge},
+  author={Heller, Nicholas and Isensee, Fabian and Maier-Hein, Klaus H and Hou, Xiaoshuai and Xie, Chunmei and Li, Fengyi and Nan, Yang and Mu, Guangrui and Lin, Zhiyong and Han, Miofei and others},
+  journal={Medical image analysis},
+  volume={67},
+  pages={101821},
+  year={2021},
+  publisher={Elsevier}
+}
+```
+
+## Dataset description
+KiTS21 builds on the KiTS19 challenge, which aimed to advance automatic 3D kidney and kidney tumor segmentation in contrast-enhanced CT scans. It provides a curated set of manually annotated volumes for benchmarking deep learning methods and supports an open leaderboard for ongoing evaluation.
+
+**KiTS21 challenge homepage**: https://kits-challenge.org/kits23/
+
+**KiTS21 challenge design**: https://zenodo.org/records/4674397
+
+**Number of CT volumes**: 300
+
+**Contrast**: Contrast-enhanced
+
+**CT body coverage**: Abdomen (occasional chest/pelvis coverage)
+
+**Does the dataset include any ground truth annotations?** Yes
+
+**Original GT annotation targets**: Kidney, kidney tumor, kidney cyst
+
+**Number of annotated CT volumes**: 300
+
+**Annotator**: Human
+
+**Acquisition centers**: Multiple, with varied scanner brands; predominantly from Minnesota, North Dakota, and western Wisconsin
+
+**Pathology/Disease**: Kidney tumors
+
+**Original dataset download link**: https://github.com/neheller/kits21/blob/master/README.md
+
+**Original dataset format**: nifti
+
+## Note
+These 300 volumes correspond to the KiTS21 training split, which includes all cases from the train and test splits of KiTS19.