{
 "id": "ChipYTY/PASD",
 "owner": "ChipYTY",
 "name": "PASD",
 "downloads": 309,
 "likes": 1,
 "last_modified": "2026-05-13T01:58:51.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "image-segmentation",
  "image-classification"
 ],
 "citation": "@article{zhang2025pasd,\r\n  title   = {3D Segment Anything Model with Visual Mamba for Diagnosing Placenta Accreta Spectrum},\r\n  author  = {Zhang, Yuliang and He, Fang and Peng, Lulu and Guo, Qing and Yu, Lin and\r\n             Wang, Zhijian and Shun, Wei and Liu, Jue and Chen, Yonglu and Huang, Jianwei and\r\n             Bao, Zeye and Cai, Zhishan and Chen, Yanhong and Hu, Miao and Gu, Zhongjia and\r\n             Shi, Yiyu and Yan, Tianyu and Zhang, Pingping and Ting, Song and Du, Lili and Chen, Dunjin},\r\n  journal = {IEEE Transactions on Image Processing},\r\n  year    = {2025}\r\n}",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "9bc970065214d2b68d76f29d2805096fba7a56ec",
 "stated_evidence": "https://huggingface.co/datasets/ChipYTY/PASD/blob/9bc970065214d2b68d76f29d2805096fba7a56ec/README.md",
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}