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README.md

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 # CT_DeepLesion-MedSAM2 Dataset
 
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+     <td><a href="https://arxiv.org/abs/2504.03600" target="_blank"><img src="https://img.shields.io/badge/arXiv-Paper-FF6B6B?style=for-the-badge&logo=arxiv&logoColor=white" alt="Paper"></a></td>
+     <td><a href="https://github.com/bowang-lab/MedSAM2" target="_blank"><img src="https://img.shields.io/badge/GitHub-Code-181717?style=for-the-badge&logo=github&logoColor=white" alt="Code"></a></td>
+     <td><a href="https://huggingface.co/wanglab/MedSAM2" target="_blank"><img src="https://img.shields.io/badge/HuggingFace-Model-FFBF00?style=for-the-badge&logo=huggingface&logoColor=white" alt="HuggingFace Model"></a></td>
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+     <td><a href="https://medsam-datasetlist.github.io/" target="_blank"><img src="https://img.shields.io/badge/Dataset-List-00B89E?style=for-the-badge" alt="Dataset List"></a></td>
+     <td><a href="https://huggingface.co/datasets/wanglab/CT_DeepLesion-MedSAM2" target="_blank"><img src="https://img.shields.io/badge/Dataset-CT__DeepLesion-28A745?style=for-the-badge" alt="CT_DeepLesion-MedSAM2"></a></td>
+     <td><a href="https://huggingface.co/datasets/wanglab/LLD-MMRI-MedSAM2" target="_blank"><img src="https://img.shields.io/badge/Dataset-LLD--MMRI-FF6B6B?style=for-the-badge" alt="LLD-MMRI-MedSAM2"></a></td>
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+     <td><a href="https://github.com/bowang-lab/MedSAMSlicer/tree/MedSAM2" target="_blank"><img src="https://img.shields.io/badge/3D_Slicer-Plugin-000000?style=for-the-badge" alt="3D Slicer"></a></td>
+     <td><a href="https://github.com/bowang-lab/MedSAM2/blob/main/app.py" target="_blank"><img src="https://img.shields.io/badge/Gradio-Demo-F9D371?style=for-the-badge&logo=gradio&logoColor=white" alt="Gradio App"></a></td>
+     <td><a href="https://colab.research.google.com/drive/1MKna9Sg9c78LNcrVyG58cQQmaePZq2k2?usp=sharing" target="_blank"><img src="https://img.shields.io/badge/Colab-Notebook-F9AB00?style=for-the-badge&logo=googlecolab&logoColor=white" alt="Colab"></a></td>
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 [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. 
 
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 Please cite both DeepLesion and MedSAM2 when using this dataset. 
 
 ```bash