Update README.md

README.md

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-# Dataset
+---
+language:
+- en
+tags:
+- medical
+size_categories:
+- 1K<n<10K
+---
+# CT_DeepLesion-MedSAM2 Dataset
+
+[DeepLesion](https://nihcc.app.box.com/v/DeepLesion) dataset contains 32,735 diverse lesions in 32,120 CT slices from 10,594 studies of 4,427 unique patients. Each lesion has a bounding box annotation on the key slice, which is derived from the longest diameter and longest
+perpendicular diameter. We annotated 5000 lesions with [MedSAM2](https://github.com/bowang-lab/MedSAM2) in a human-in-the-loop pipeline. 
+
+
+
+Please cite both DeepLesion and MedSAM2 when using this dataset. 
+
+```bash
+@article{DeepLesion,
+  title={DeepLesion: automated mining of large-scale lesion annotations and universal lesion detection with deep learning},
+  author={Yan, Ke and Wang, Xiaosong and Lu, Le and Summers, Ronald M},
+  journal={Journal of Medical Imaging},
+  volume={5},
+  number={3},
+  pages={036501--036501},
+  year={2018}
+}
+
+@article{MedSAM2,
+    title={MedSAM2: Segment Anything in 3D Medical Images and Videos},
+    author={Ma, Jun and Yang, Zongxin and Kim, Sumin and Chen, Bihui and Baharoon, Mohammed and Fallahpour, Adibvafa and Asakereh, Reza and Lyu, Hongwei and Wang, Bo},
+    journal={arXiv preprint arXiv:2504.63609},
+    year={2025}
+}
+```