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license: cc-by-4.0 |
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library_name: pytorch |
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A lymphocyte classification model. This model is an InceptionV4 (without batch normalization) |
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and was trained on 23 types of cancers from TCGA. |
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Please refer to the [original GitHub Repo](https://github.com/ShahiraAbousamra/til_classification) |
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and the [associated paper](https://doi.org/10.3389/fonc.2021.806603). If you find this model useful, |
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please consider citing relevant paper: |
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```bibtex |
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@article{abousamra2022deep, |
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title={Deep learning-based mapping of tumor infiltrating lymphocytes in whole slide images of 23 types of cancer}, |
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author={Abousamra, Shahira and Gupta, Rajarsi and Hou, Le and Batiste, Rebecca and Zhao, Tianhao and Shankar, Anand and Rao, Arvind and Chen, Chao and Samaras, Dimitris and Kurc, Tahsin and others}, |
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journal={Frontiers in oncology}, |
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volume={11}, |
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pages={5971}, |
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year={2022}, |
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publisher={Frontiers} |
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} |
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``` |
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The model was converted from its original TF Slim implementation to PyTorch using the script |
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`convert_tf_to_pytorch_til_inceptionv4.py` (in this repository). |
