Diagnostic accuracy of automated ACR BI-RADS breast density classification using deep convolutional neural networks.

Raphael SexauerPatryk HejdukKarol BorkowskiCarlotta RuppertThomas WeikertSophie DellasNoemi Schmidt

Published in: European radiology (2023)

• A DCNN performs on par with human experts in breast density assessment for synthetic 2D tomosynthesis reconstructions. • The proposed technique may be useful for accurate, standardized, and observer-independent breast density evaluation of tomosynthesis.

Keyphrases

deep learning
convolutional neural network
machine learning
endothelial cells
image quality
high throughput
high resolution
magnetic resonance