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README.md
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- Image size: 224 x 224
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- **Papers:**
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- Deep Residual Learning for Image Recognition: https://arxiv.org/abs/1512.03385
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- **Original:** https://github.com/pytorch/vision
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## Model Creation
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journal = {arXiv preprint arXiv:1512.03385},
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year = {2015}
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}
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```
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- Image size: 224 x 224
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- **Papers:**
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- Deep Residual Learning for Image Recognition: https://arxiv.org/abs/1512.03385
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- Data-efficient and weakly supervised computational pathology on whole-slide images: https://www.nature.com/articles/s41551-020-00682-w
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- **Original:** https://github.com/pytorch/vision
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## Model Creation
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journal = {arXiv preprint arXiv:1512.03385},
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year = {2015}
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}
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@article{lu2021data,
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title={Data-efficient and weakly supervised computational pathology on whole-slide images},
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author={Lu, Ming Y and Williamson, Drew FK and Chen, Tiffany Y and Chen, Richard J and Barbieri, Matteo and Mahmood, Faisal},
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journal={Nature Biomedical Engineering},
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volume={5},
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number={6},
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pages={555--570},
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year={2021},
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publisher={Nature Publishing Group}
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}
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```
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