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@@ -29,6 +29,7 @@ This model card was adapted from https://huggingface.co/timm/resnet50.tv_in1k.
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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
@@ -108,4 +109,14 @@ output.shape # 1x1024
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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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  ```