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2 changes: 1 addition & 1 deletion README.md
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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 |