Integrative multiomics-histopathology analysis for breast cancer classification

HIGHLIGHTS

  • who: Yasha Ektefaie from the Demographics summary of TCGA, Sunnybrook, University of Pennsylvania and the Cancer Institute of New Jersey (UPenn and CINJ) cohortsTCGA have published the research: Integrative multiomics-histopathology analysis for breast cancer classification, in the Journal: (JOURNAL)
  • what: Because units in later network layers are lower resolution due to convolution and pooling steps and are often the result of significant non-linear relationships, the authors focused the analysis on the first convolutional layer. The authors have demonstrated the utility of image classification tasks that pathologists currently cannot easily perform. The study provides . . .

     

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