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Fully automatic classification of breast MRI background parenchymal enhancement using a transfer learning approach

Karol Borkowski1, Cristina Rossi, Alexander Ciritsis

  • 1Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland.

Medicine
|July 25, 2020
PubMed
Summary

A deep convolutional neural network (dCNN) was trained to automatically classify background parenchymal enhancement (BPE) in breast MRI images. The dCNN achieved high accuracy, supporting standardized BPE classification for improved breast cancer risk assessment.

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