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High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection

learning classifiers and HASHI experiments. The results presented here are in part based upon data generated by the TCGA Research Network: http://cancergenome.nih.gov/. Conceptualization: Angel Cruz-Roa ... , Anant Madabhushi, Fabio GonzaÂlez. Data curation: Angel Cruz-Roa, Hannah Gilmore, Ajay Basavanhally, Michael Feldman, Shridar Ganesan, Natalie Shih, John Tomaszewski. Formal analysis: Angel Cruz-Roa

Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent

University, Cleveland, OH, USAAnant Madabhushi AuthorsSearch for Angel Cruz-Roa in:Nature Research journals • PubMed • Google ScholarSearch for Hannah Gilmore in:Nature Research journals • PubMed • Google ... Correspondence to Angel Cruz-Roa. Rights and permissions This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are