Update medical-and-biological-vision-cell-microscopy.md

sections/medical-and-biological-vision-cell-microscopy.md

@@ -58,7 +58,7 @@
 | Learning to Exploit the Sequence-Specific Prior Knowledge for Image Processing Pipelines Optimization | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Qin_Learning_To_Exploit_the_Sequence-Specific_Prior_Knowledge_for_Image_Processing_CVPR_2023_paper.pdf) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=Oh-kgpe-S_Y) |
 | RepMode: Learning to Re-Parameterize Diverse Experts for Subcellular Structure Prediction <br /> ![CVPR - Highlight](https://img.shields.io/badge/CVPR-Highlight-FFFF00) | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://correr-zhou.github.io/RepMode/) <br /> [![GitHub](https://img.shields.io/github/stars/Correr-Zhou/RepMode?style=flat)](https://github.com/Correr-Zhou/RepMode) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Zhou_RepMode_Learning_to_Re-Parameterize_Diverse_Experts_for_Subcellular_Structure_Prediction_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2212.10066-b31b1b.svg)](http://arxiv.org/abs/2212.10066) | :heavy_minus_sign: |
 | Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Yan_Towards_Trustable_Skin_Cancer_Diagnosis_via_Rewriting_Models_Decision_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2303.00885-b31b1b.svg)](https://arxiv.org/abs/2303.00885) | :heavy_minus_sign: |
-| Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology whole Slide Image Classification | [![GitHub](https://img.shields.io/github/stars/invoker-LL/WSI-finetuning?style=flat)](https://github.com/invoker-LL/WSI-finetuning) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Li_Task-Specific_Fine-Tuning_via_Variational_Information_Bottleneck_for_Weakly-Supervised_Pathology_Whole_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2303.08446-b31b1b.svg)](http://arxiv.org/abs/2303.08446) | :heavy_minus_sign: |
+| Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology whole Slide Image Classification | [![GitHub](https://img.shields.io/github/stars/invoker-LL/WSI-finetuning?style=flat)](https://github.com/invoker-LL/WSI-finetuning) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Li_Task-Specific_Fine-Tuning_via_Variational_Information_Bottleneck_for_Weakly-Supervised_Pathology_Whole_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2303.08446-b31b1b.svg)](http://arxiv.org/abs/2303.08446) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=fSLcO_Knt6Q) |
 | TINC: Tree-Structured Implicit Neural Compression | [![GitHub](https://img.shields.io/github/stars/RichealYoung/TINC?style=flat)](https://github.com/RichealYoung/TINC) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Yang_TINC_Tree-Structured_Implicit_Neural_Compression_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2211.06689-b31b1b.svg)](http://arxiv.org/abs/2211.06689) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=7UZ1YOsCtrU) |
 | Topology-Guided Multi-Class Cell Context Generation for Digital Pathology | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Abousamra_Topology-Guided_Multi-Class_Cell_Context_Generation_for_Digital_Pathology_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2304.02255-b31b1b.svg)](http://arxiv.org/abs/2304.02255) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=3a5Mi6W5Vcw) |
 | Directional Connectivity-based Segmentation of Medical Images | [![GitHub](https://img.shields.io/github/stars/Zyun-Y/DconnNet?style=flat)](https://github.com/Zyun-Y/DconnNet) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Yang_Directional_Connectivity-Based_Segmentation_of_Medical_Images_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2304.00145-b31b1b.svg)](http://arxiv.org/abs/2304.00145) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=C3xCL8nbEU4) |