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TOAD 🐸 <img src="https://github.com/mahmoodlab/TOAD/blob/master/UNP.png?raw=true" width="325px" align="right" /> |
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TOAD 🐸 <img src="UNP.png" width="325px" align="right" /> |
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=========== |
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=========== |
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### AI-based Pathology Predicts Origins for Cancers of Unknown Primary |
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### AI-based Pathology Predicts Origins for Cancers of Unknown Primary |
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*Nature* |
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*Nature* |
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[Read Link](https://t.co/HTkIdg55Lw?amp=1) | [Journal Link](https://dx.doi.org/10.1038/s41586-021-03512-4) | [Interactive Demo](http://toad.mahmoodlab.org) | [Cite](#reference) |
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[Read Link](https://t.co/HTkIdg55Lw?amp=1) | [Journal Link](https://dx.doi.org/10.1038/s41586-021-03512-4) | [Interactive Demo](http://toad.mahmoodlab.org) | [Cite](#reference) |
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python eval_mtl_concat.py -h |
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python eval_mtl_concat.py -h |
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``` |
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``` |
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To test trained models on your own custom datasets, you can add them into **eval_mtl_concat.py**, the same way as you do for **main_mtl_concat.py**. |
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To test trained models on your own custom datasets, you can add them into **eval_mtl_concat.py**, the same way as you do for **main_mtl_concat.py**. |
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<img src="github_heatmap.jpg" width="1000px" align="center" /> |
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<img src="https://github.com/mahmoodlab/TOAD/blob/master/github_heatmap.jpg?raw=true" width="1000px" align="center" /> |
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## Issues |
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## Issues |
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- Please report all issues on the public forum. |
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- Please report all issues on the public forum. |
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## License |
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## License |
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pages={106--110}, |
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pages={106--110}, |
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year={2021}, |
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year={2021}, |
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publisher={Nature Publishing Group} |
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publisher={Nature Publishing Group} |
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} |
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} |
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``` |
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``` |
Datasets
Models
