{
 "id": "Jupitern52/TextBraTS",
 "owner": "Jupitern52",
 "name": "TextBraTS",
 "downloads": 687,
 "likes": 5,
 "last_modified": "2025-06-28T02:26:09.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "image-segmentation",
  "image-to-text"
 ],
 "citation": "@inproceedings{shi2025textbrats,\n  title = {TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Exploration},\n  author = {Shi, Xiaoyu and Jain, Rahul Kumar and Li, Yinhao and Hou, Ruibo and Cheng, Jingliang and Bai, Jie and Zhao, Guohua and Lin, Lanfen and Xu, Rui and Chen, Yen-wei},\n  booktitle = {Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)},\n  year = {2025},\n  note = {to appear}\n}",
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 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "3d9c19a577f5c7d19bf5855449cffa05369d2284",
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}