Upload README_0010_verse.md

0010_verse/README_0010_verse.md

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+# VerSe – Vertebrae Labelling and Segmentation Benchmark
+
+## License
+**CC BY-SA 4.0**  
+[Creative Commons Attribution-ShareAlike 4.0 International License](https://creativecommons.org/licenses/by-sa/4.0/)
+
+## Citation
+Paper BibTeX:
+
+```bibtex
+@article{sekuboyina2021verse,
+  title={VerSe: a vertebrae labelling and segmentation benchmark for multi-detector CT images},
+  author={Sekuboyina, Anjany and Husseini, Malek E and Bayat, Amirhossein and L{\"o}ffler, Maximilian and Liebl, Hans and Li, Hongwei and Tetteh, Giles and Kuka{\v{c}}ka, Jan and Payer, Christian and {\v{S}}tern, Darko and others},
+  journal={Medical image analysis},
+  volume={73},
+  pages={102166},
+  year={2021},
+  publisher={Elsevier}
+}
+```
+
+
+## Dataset description
+The VerSe benchmark, introduced at MICCAI 2019 and 2020, provides multi-detector CT scans for vertebrae labelling and segmentation. It includes 374 scans with over 4,500 vertebrae annotated using a human–machine hybrid approach, enabling the development and evaluation of algorithms across diverse anatomy and acquisition protocols.
+
+**Challenge homepage**: https://verse2020.grand-challenge.org/
+
+**Number of CT volumes**: 374
+
+**CT Type**: Multi-detector CT (MDCT)
+
+**CT body coverage**: Spine (various fields of view)
+
+**Does the dataset include any ground truth annotations?**: Yes
+
+**Original GT annotation targets**: Vertebrae C1–L5, transitional T13 and L6
+
+**Number of annotated CT volumes**: 374
+
+**Annotator**: Automated algorithm + manual refinement
+
+**Acquisition centers**: -
+
+**Pathology/Disease**: Vertebral fractures, metallic implants, and foreign materials
+
+**Original dataset download link**: 
+
+https://github.com/anjany/verse 
+
+https://osf.io/4skx2/
+
+**Original dataset format**: nifti
+
+## Note
+VerSe19 contains 160 scans and VerSe20 contains 319 scans; the merged dataset used here totals 374 scans.