{
 "id": "harvardairobotics/FairDomain",
 "owner": "harvardairobotics",
 "name": "FairDomain",
 "downloads": 88,
 "likes": 0,
 "last_modified": "2026-04-15T18:48:43.000Z",
 "stated_licence": "cc-by-nc-nd-4.0",
 "stated_from": "tag",
 "licence_name": null,
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 "file_licence": null,
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 "sources": [],
 "gated": false,
 "tasks": [
  "image-segmentation",
  "image-classification"
 ],
 "citation": "@article{tian2024fairdomain,\n  title={FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification},\n  author={Tian, Yu and Wen, Congcong and Shi, Min and Afzal, Muhammad Muneeb and Huang, Hao and Khan, Muhammad Osama and Luo, Yan and Fang, Yi and Wang, Mengyu},\n  journal={arXiv preprint arXiv:2407.08813},\n  year={2024}\n}",
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 "reason": "The declared licence (cc-by-nc-nd-4.0) is classified as having use restrictions.",
 "revision": "ca38a1caa4eee731c308938bde27879526251908",
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