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  • 660 Developing generalizable deep learning models for tumor segmentation in pathology images to enable the identification of predictive biomarkers for immunotherapies

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Regular and young investigator award abstracts
Machine learning, artificial intelligence, and computational modeling
660 Developing generalizable deep learning models for tumor segmentation in pathology images to enable the identification of predictive biomarkers for immunotherapies

https://doi.org/10.1136/jitc-2020-SITC2020.0660

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