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Atypical architectural distortion detection in digital breast tomosynthesis: a multi-view computer-aided detection

Jiawei Pan1,2, Zilong He3, Yue Li1

  • 1School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, People's Republic of China.

Physics in Medicine and Biology
|November 2, 2023
PubMed
Summary

This study introduces a new computer-aided detection (CADe) model for breast cancer screening using digital breast tomosynthesis (DBT). The model improves the detection of architectural distortion (AD) by analyzing multiple views, leading to more accurate diagnoses.

Keywords:
atypical architectural distortioncomputer-aided detectiondigital breast tomosynthesisipsilateral learningtriplet loss

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