{
 "id": "Dearcat/CPathPatchFeature",
 "owner": "Dearcat",
 "name": "CPathPatchFeature",
 "downloads": 6180,
 "likes": 7,
 "last_modified": "2025-10-30T02:17:39.000Z",
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 "tasks": [
  "image-feature-extraction"
 ],
 "citation": "@misc{tang2025revisitingdatachallengescomputational,\n      title={Revisiting Data Challenges of Computational Pathology: A Pack-based Multiple Instance Learning Framework}, \n      author={Wenhao Tang and Heng Fang and Ge Wu and Xiang Li and Ming-Ming Cheng},\n      year={2025},\n      eprint={2509.20923},\n      archivePrefix={arXiv},\n      primaryClass={cs.CV},\n      url={[https://arxiv.org/abs/2509.20923](https://arxiv.org/abs/2509.20923)}, \n}\n\n@misc{tang2025multipleinstancelearningframework,\n      title={Multiple Instance Learning Framework with Masked Hard Instance Mining for Gigapixel Histopathology Image Analysis}, \n      author={Wenhao Tang and Sheng Huang and Heng Fang and Fengtao Zhou and Bo Liu and Qingshan Liu},\n      year={2025},\n      eprint={2509.11526},\n      archivePrefix={arXiv},\n      primaryClass={cs.CV},\n      url={[https://arxiv.org/abs/2509.11526](https://arxiv.org/abs/2509.11526)}, \n}\n\n@misc{tang2025revisitingendtoendlearningslidelevel,\n      title={Revisiting End-to-End Learning with Slide-level Supervision in Computational Pathology}, \n      author={Wenhao Tang and Rong Qin and Heng Fang and Fengtao Zhou and Hao Chen and Xiang Li and Ming-Ming Cheng},\n      year={2025},\n      eprint={2506.02408},\n      archivePrefix={arXiv},\n      primaryClass={cs.CV},\n      url={[https://arxiv.org/abs/2506.02408](https://arxiv.org/abs/2506.02408)}, \n}",
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}