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 | Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology | CVPR 2024              | [![arXiv](https://img.shields.io/badge/arXiv-2402.17228-b31b1b.svg)](https://arxiv.org/abs/2402.17228) | [![GitHub](https://img.shields.io/github/stars/DearCaat/RRT-MIL?style=flat)](https://github.com/DearCaat/RRT-MIL) | Online learnable transformation of features before MIL       |
 | MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology | MICCAI 2024            | [![arXiv](https://img.shields.io/badge/arXiv-2403.06800-b31b1b.svg)](https://arxiv.org/abs/2403.06800) | [![GitHub](https://img.shields.io/github/stars/isyangshu/MambaMIL?style=flat)](https://github.com/isyangshu/MambaMIL) | The first Mamba-based MIL for WSI classification             |
 | Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher | TMI 2024               | [![arXiv](https://img.shields.io/badge/arXiv-2312.01099-b31b1b.svg)](https://arxiv.org/abs/2312.01099) | [![GitHub](https://img.shields.io/github/stars/Dootmaan/ICMIL?style=flat)](https://github.com/Dootmaan/ICMIL) | Decouple the patch-level embeddings and bag-level predictions |
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+| A Graph-Based Multi-Scale Approach With Knowledge Distillation for WSI classification |    TMI 2024                    |           [IEEE](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10332153)                                                   |    [![Github](https://img.shields.io/github/stars/aimagelab/mil4wsi?style=flat)](https://github.com/aimagelab/mil4wsi)                                                          |         knowledge distillation, Multi resolution, similarity Graph                                                   |