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  license: cc-by-nc-sa-4.0
 
 
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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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+
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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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+
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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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+ ```