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Model-based deep CNN-regularized reconstruction for digital breast tomosynthesis with a task-based CNN image

Mingjie Gao1,2, Jeffrey A Fessler1,2, Heang-Ping Chan1

  • 1Department of Radiology, University of Michigan, Ann Arbor, MI 48109, United States of America.

Physics in Medicine and Biology
|November 21, 2023
PubMed
Summary

This study introduces a new deep learning method to improve digital breast tomosynthesis (DBT) image quality. The model reduces noise and enhances microcalcification visibility, aiding breast cancer detection.

Keywords:
deep convolutional neural networkdigital breast tomosynthesisimage denoisingimage reconstructionmicrocalcificationmodel observertask-based image quality assessment

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