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