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Deep learning based classification of breast tumors with shear-wave elastography

Qi Zhang1, Yang Xiao2, Wei Dai1

  • 1School of Communication and Information Engineering, Shanghai University, Shanghai, China.

Ultrasonics
|August 17, 2016
PubMed
Summary

This study introduces a deep learning (DL) architecture for analyzing shear-wave elastography (SWE) images to differentiate breast tumors. The DL model achieved high accuracy in distinguishing between benign and malignant tumors.

Keywords:
Breast tumorsComputer-aided diagnosisDeep learningPoint-wise gated Boltzmann machineShear-wave elastography

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