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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

, 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 ... Madabhushi, Fabio GonzaÂlez. Software: Angel Cruz-Roa, Fabio GonzaÂlez. Supervision: Anant Madabhushi, Fabio GonzaÂlez. Validation: Hannah Gilmore, Ajay Basavanhally, Michael Feldman, Shridar Ganesan

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

Anatomical localization of progenitor cells in human breast tissue reveals enrichment of uncommitted cells within immature lobules

Introduction Lineage tracing studies in mice have revealed the localization and existence of lineage-restricted mammary epithelial progenitor cells that functionally contribute to expansive growth during puberty and differentiation during pregnancy. However, extensive anatomical differences between mouse and human mammary tissues preclude the direct translation of rodent findings...

Mapping the cellular and molecular heterogeneity of normal and malignant breast tissues and cultured cell lines

Introduction Normal and neoplastic breast tissues are comprised of heterogeneous populations of epithelial cells exhibiting various degrees of maturation and differentiation. While cultured cell lines have been derived from both normal and malignant tissues, it remains unclear to what extent they retain similar levels of differentiation and heterogeneity as that found within...