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@misc{Hinton:arXiv:2015:Distilling,
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@article{vorontsov2024foundation,
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  author={Zhu, Kaiyin and Xiong, Neal N. and Lu, Mingming},
  booktitle={2023 IEEE 9th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS)}, 
  title={A Survey of Weakly-supervised Semantic Segmentation}, 
  year={2023},
  volume={},
  number={},
  pages={10-15},
  keywords={Surveys;Deep learning;Computer vision;Costs;Annotations;Semantic segmentation;Computational modeling;Semantic segmentation;Sparse annotations;Weakly-supervised},
  doi={10.1109/BigDataSecurity-HPSC-IDS58521.2023.00013}}

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  journal={IEEE Transactions on Medical Imaging},
  year={2025},
  publisher={IEEE}
}

@article{Jamshidi2025SeparationIndex,
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  title     = {Efficient compression of encoder-decoder models for semantic segmentation using the separation index},
  journal   = {Scientific Reports},
  volume    = {15},
  number    = {1},
  year      = {2025},
  doi       = {10.1038/s41598-025-10348-9},
  url       = {https://doi.org/10.1038/s41598-025-10348-9},
  publisher = {Nature Publishing Group}
}
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  author={Chen, Zhaozheng and Sun, Qianru},
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  year={2025},
  publisher={ACM New York, NY}
}
@misc{xu2019camelweaklysupervisedlearning,
      title={CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation}, 
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      year={2019},
      eprint={1908.10555},
      archivePrefix={arXiv},
      primaryClass={eess.IV},
      url={https://arxiv.org/abs/1908.10555}, 
}

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  author={He, Yinsheng and Li, Xingyu and Zemp, Roger J},
  journal={arXiv preprint arXiv:2407.10274},
  year={2024}
}
@article{li2023weakly,
  title={Weakly supervised histopathology image segmentation with self-attention},
  author={Li, Kailu and Qian, Ziniu and Han, Yingnan and Chang, Eric I-Chao and Wei, Bingzheng and Lai, Maode and Liao, Jing and Fan, Yubo and Xu, Yan},
  journal={Medical Image Analysis},
  volume={86},
  pages={102791},
  year={2023},
  publisher={Elsevier}
}

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@inproceedings{vqgan,
  title={Taming transformers for high-resolution image synthesis},
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@inproceedings{yang2024foundation,
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@inproceedings{zhou2022rethinking,
  title={Rethinking semantic segmentation: A prototype view},
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  year={2022}
}
@misc{PBIP,
      title={Prototype-Based Image Prompting for Weakly Supervised Histopathological Image Segmentation}, 
      author={Qingchen Tang and Lei Fan and Maurice Pagnucco and Yang Song},
      year={2025},
      eprint={2503.12068},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2503.12068}, 
}
@inproceedings{Toco,
  title={Token contrast for weakly-supervised semantic segmentation},
  author={Ru, Lixiang and Zheng, Heliang and Zhan, Yibing and Du, Bo},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={3093--3102},
  year={2023}
}
@article{conch,
  title={A visual-language foundation model for computational pathology},
  author={Lu, Ming Y and Chen, Bowen and Williamson, Drew FK and Chen, Richard J and Liang, Ivy and Ding, Tong and Jaume, Guillaume and Odintsov, Igor and Le, Long Phi and Gerber, Georg and others},
  journal={Nature medicine},
  volume={30},
  number={3},
  pages={863--874},
  year={2024},
  publisher={Nature Publishing Group US New York}
}

@misc{LDP,
      title={LPD: Learnable Prototypes with Diversity Regularization for Weakly Supervised Histopathology Segmentation}, 
      author={Khang Le and Anh Mai Vu and Thi Kim Trang Vo and Ha Thach and Ngoc Bui Lam Quang and Thanh-Huy Nguyen and Minh H. N. Le and Zhu Han and Chandra Mohan and Hien Van Nguyen},
      year={2025},
      eprint={2512.05922},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2512.05922}, 
}


@misc{vu2025cig,
      title={Contrastive Integrated Gradients: A Feature Attribution-Based Method for Explaining Whole Slide Image Classification}, 
      author={Anh Mai Vu and Tuan L. Vo and Ngoc Lam Quang Bui and Nam Nguyen Le Binh and Akash Awasthi and Huy Quoc Vo and Thanh-Huy Nguyen and Zhu Han and Chandra Mohan and Hien Van Nguyen},
      year={2025},
      eprint={2511.08464},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2511.08464}, 
}
@misc{wu2025superpixelboundarycorrectionweaklysupervised,
      title={Superpixel Boundary Correction for Weakly-Supervised Semantic Segmentation on Histopathology Images}, 
      author={Hongyi Wu and Hong Zhang},
      year={2025},
      eprint={2501.03891},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2501.03891}, 
}
@misc{he2024enhancingweaklysupervisedhistopathologyimage,
      title={Enhancing Weakly-Supervised Histopathology Image Segmentation with Knowledge Distillation on MIL-Based Pseudo-Labels}, 
      author={Yinsheng He and Xingyu Li and Roger J. Zemp},
      year={2024},
      eprint={2407.10274},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2407.10274}, 
}

@misc{pan2023humanmachineinteractivetissueprototype,
      title={Human-machine Interactive Tissue Prototype Learning for Label-efficient Histopathology Image Segmentation}, 
      author={Wentao Pan and Jiangpeng Yan and Hanbo Chen and Jiawei Yang and Zhe Xu and Xiu Li and Jianhua Yao},
      year={2023},
      eprint={2211.14491},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2211.14491}, 
}
@misc{protoseg,
      title={ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts}, 
      author={Mikołaj Sacha and Dawid Rymarczyk and Łukasz Struski and Jacek Tabor and Bartosz Zieliński},
      year={2025},
      eprint={2301.12276},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2301.12276}, 
}
@misc{MLPS,
      title={Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels}, 
      author={Chu Han and Jiatai Lin and Jinhai Mai and Yi Wang and Qingling Zhang and Bingchao Zhao and Xin Chen and Xipeng Pan and Zhenwei Shi and Xiaowei Xu and Su Yao and Lixu Yan and Huan Lin and Zeyan Xu and Xiaomei Huang and Guoqiang Han and Changhong Liang and Zaiyi Liu},
      year={2021},
      eprint={2110.08048},
      archivePrefix={arXiv},
      primaryClass={eess.IV},
      url={https://arxiv.org/abs/2110.08048}
}

@inproceedings{TPRO,
    author = {Zhang, Shaoteng and Zhang, Jianpeng and Xie, Yutong and Xia, Yong},
    title = {TPRO: Text-Prompting-Based Weakly Supervised Histopathology Tissue Segmentation},
    year = {2023},
    isbn = {978-3-031-43906-3},
    publisher = {Springer-Verlag},
    address = {Berlin, Heidelberg},
    url = {https://doi.org/10.1007/978-3-031-43907-0_11},
    doi = {10.1007/978-3-031-43907-0_11},
    booktitle = {Medical Image Computing and Computer Assisted Intervention – MICCAI 2023: 26th International Conference, Vancouver, BC, Canada, October 8–12, 2023, Proceedings, Part I},
    pages = {109–118},
    numpages = {10},
    keywords = {Histopathology Tissue Segmentation, Weakly-Supervised Semantic Segmentation, Vision-Language},
    location = {Vancouver, BC, Canada}
}
@misc{BCSSWSSS,
      title={Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels}, 
      author={Chu Han and Jiatai Lin and Jinhai Mai and Yi Wang and Qingling Zhang and Bingchao Zhao and Xin Chen and Xipeng Pan and Zhenwei Shi and Xiaowei Xu and Su Yao and Lixu Yan and Huan Lin and Zeyan Xu and Xiaomei Huang and Guoqiang Han and Changhong Liang and Zaiyi Liu},
      year={2021},
      eprint={2110.08048},
      archivePrefix={arXiv},
      primaryClass={eess.IV},
      url={https://arxiv.org/abs/2110.08048}, 
}
@misc{segformer,
      title={SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers}, 
      author={Enze Xie and Wenhai Wang and Zhiding Yu and Anima Anandkumar and Jose M. Alvarez and Ping Luo},
      year={2021},
      eprint={2105.15203},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2105.15203}, 
}
@article{uni,
  title={Towards a general-purpose foundation model for computational pathology},
  author={Chen, Richard J and Ding, Tong and Lu, Ming Y and Williamson, Drew FK and Jaume, Guillaume and Song, Andrew H and Chen, Bowen and Zhang, Andrew and Shao, Daniel and Shaban, Muhammad and others},
  journal={Nature medicine},
  volume={30},
  number={3},
  pages={850--862},
  year={2024},
  publisher={Nature Publishing Group US New York}
}
@article{provagiga,
  title={A whole-slide foundation model for digital pathology from real-world data},
  author={Xu, Hanwen and Usuyama, Naoto and Bagga, Jaspreet and Zhang, Sheng and Rao, Rajesh and Naumann, Tristan and Wong, Cliff and Gero, Zelalem and Gonz{\'a}lez, Javier and Gu, Yu and others},
  journal={Nature},
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  pages={181--188},
  year={2024},
  publisher={Nature Publishing Group UK London}
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@INPROCEEDINGS{9009552,
  author={Chan, Lyndon and Hosseini, Mahdi and Rowsell, Corwyn and Plataniotis, Konstantinos and Damaskinos, Savvas},
  booktitle={2019 IEEE/CVF International Conference on Computer Vision (ICCV)}, 
  title={HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images}, 
  year={2019},
  volume={},
  number={},
  pages={10661-10670},
  keywords={Image segmentation;Semantics;Pathology;Databases;Visualization;Tools;Cams},
  doi={10.1109/ICCV.2019.01076}}
@misc{radford2021learningtransferablevisualmodels,
      title={Learning Transferable Visual Models From Natural Language Supervision}, 
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      year={2021},
      eprint={2103.00020},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2103.00020}, 
}

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