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| a/README.md | b/README.md | ||
|---|---|---|---|
| 1 | # Cox-AMIL |
1 | # Cox-AMIL |
| 2 | 2 | ||
| 3 | ## Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays |
3 | ## Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays |
| 4 | 4 | ||
| 5 | This repository contains the code that was used for our BVM workshop sumbission *Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays* available on [ArXiv](https://arxiv.org/abs/2212.07724). |
5 | This repository contains the code that was used for our BVM workshop sumbission *Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays* available on [ArXiv](https://arxiv.org/abs/2212.07724). |
| 6 | 6 | ||
| 7 | <img src="architecture_bg.png" width="600px" align="center"/> |
7 | |
| 8 | |||
| 9 | The code is based on the [CLAM](https://github.com/mahmoodlab/CLAM) framework for weakly-supervised classification on whole-slide images. The images were preprocessed as described in the original documentation. The model was trained using `main_survival.py`. Some evaluations are availabe in `tma_notebooks\09_evaluation_Ostercappeln.ipynb`. |
8 | The code is based on the [CLAM](https://github.com/mahmoodlab/CLAM) framework for weakly-supervised classification on whole-slide images. The images were preprocessed as described in the original documentation. The model was trained using `main_survival.py`. Some evaluations are availabe in `tma_notebooks\09_evaluation_Ostercappeln.ipynb`. |
| 10 | 9 | ||
| 11 | ## License |
10 | ## License |
| 12 | 11 | ||
| 13 | The code is released under the GPLv3 License following the original code base [here](https://github.com/mahmoodlab/CLAM). |
12 | The code is released under the GPLv3 License following the original code base [here](https://github.com/mahmoodlab/CLAM). |
| 14 | 13 | ||
| 15 | 14 | ||
| 16 | ## Acknowledgements |
15 | ## Acknowledgements |
| 17 | 16 | ||
| 18 | J.A. acknowleges funding by the [Bavarian Institute for Digital Transformation](https://badw.de/bayerisches-forschungsinstitut-fuer-digitale-transformation.html) from the Project [ReGInA](https://en.bidt.digital/regina/). |
17 | J.A. acknowleges funding by the [Bavarian Institute for Digital Transformation](https://badw.de/bayerisches-forschungsinstitut-fuer-digitale-transformation.html) from the Project [ReGInA](https://en.bidt.digital/regina/). |