Login / Signup

Automatic classification of ultrasound breast lesions using a deep convolutional neural network mimicking human decision-making.

Alexander P CiritsisCristina RossiMatthias EberhardMagda MarconAnton S BeckerAndreas Boss
Published in: European radiology (2019)
• Deep convolutional neural networks could be used to classify US breast lesions. • The implemented dCNN with its sliding window approach reaches high accuracies in the classification of US breast lesions. • Deep convolutional neural networks may serve for standardization in US BI-RADS classification.
Keyphrases
  • convolutional neural network
  • deep learning
  • machine learning
  • decision making
  • endothelial cells
  • magnetic resonance imaging
  • computed tomography
  • induced pluripotent stem cells