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--- |
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license: cc-by-nc-sa-4.0 |
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language: |
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- en |
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--- |
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A breast cancer tumor classification model. This model is a ResNet34 and was trained on TCGA BRCA. |
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Please refer to the [original GitHub Repo](https://github.com/SBU-BMI/quip_cancer_segmentation) |
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and the [associated paper](https://pubmed.ncbi.nlm.nih.gov/32277893/). 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{le2020utilizing, |
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title={Utilizing automated breast cancer detection to identify spatial distributions of tumor-infiltrating lymphocytes in invasive breast cancer}, |
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author={Le, Han and Gupta, Rajarsi and Hou, Le and Abousamra, Shahira and Fassler, Danielle and Torre-Healy, Luke and Moffitt, Richard A and Kurc, Tahsin and Samaras, Dimitris and Batiste, Rebecca and others}, |
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journal={The American journal of pathology}, |
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volume={190}, |
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number={7}, |
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pages={1491--1504}, |
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year={2020}, |
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publisher={Elsevier} |
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} |
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``` |
