metadata
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 and the associated paper. If you find this model useful, please consider citing relevant paper:
@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).