Diagnostic accuracy of automated acr bi-rads breast density classification using deep convolutional neural networks

HIGHLIGHTS

• who: Raphael Sexauer from the Department of Radiology and Nuclear Medicine, University Hospital Basel, Petersgraben, CHu2011, Basel, Switzerland have published the Article: Diagnostic accuracy of automated ACR BI-RADS breast density classification using deep convolutional neural networks, in the Journal: (JOURNAL)
• what: The authors propose an automatic approach for the determination of breast_density for synthetic 2D reconstructions in digital breast tomosynthesis according to the ACR BI-RADS catalog using a machine_learning algorithm based on a deep convolutional neural_network. This model architecture which enables quick predictions even with limited hardware performance was designed to fulfill clinical . . .
  

   

  

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