Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer

26 May 2019Han LeRajarsi GuptaLe HouShahira AbousamraDanielle FasslerTahsin KurcDimitris SamarasRebecca BatisteTianhao ZhaoArvind RaoAlison L. Van DykeAshish SharmaErich BremerJonas S. AlmeidaJoel Saltz

Quantitative assessment of Tumor-TIL spatial relationships is increasingly important in both basic science and clinical aspects of breast cancer research. We have developed and evaluated convolutional neural network (CNN) analysis pipelines to generate combined maps of cancer regions and tumor infiltrating lymphocytes (TILs) in routine diagnostic breast cancer whole slide tissue images (WSIs)... (read more)

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