{
 "id": "AlpachinoNLP/CT-RATE-Thinking",
 "owner": "AlpachinoNLP",
 "name": "CT-RATE-Thinking",
 "downloads": 273,
 "likes": 2,
 "last_modified": "2026-04-16T20:54:02.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "visual-question-answering",
  "text-generation"
 ],
 "citation": "@inproceedings{li2025u2tokenizer,\n  title     = {$\\mu^2$Tokenizer: Differentiable Multi-Scale Multi-Modal Tokenizer for Radiology Report Generation},\n  author    = {Li, Siyou and Qin, Pengyao and Wu, Huanan and Nie, Dong and Thirunavukarasu, Arun J. and Yu, Juntao and Zhang, Le},\n  booktitle = {Medical Image Computing and Computer Assisted Intervention (MICCAI)},\n  year      = {2025}\n}",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "837440ddbf68891010c80d20b136f748860f758d",
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}