Ultrasound-based deep learning radiomics nomogram for differentiating mass mastitis from invasive breast cancer.

Journal: BMC medical imaging
PMID: 39060962

Abstract

BACKGROUND: The purpose of this study is to develop and validate the potential value of the deep learning radiomics nomogram (DLRN) based on ultrasound to differentiate mass mastitis (MM) and invasive breast cancer (IBC).

Authors

  • Linyong Wu
    Department of Medical Ultrasound, Maoming People's Hospital, Maoming, 525011, Guangdong, P. R. China.
  • Songhua Li
    Department of Medical Ultrasound, Maoming People's Hospital, Maoming, 525011, Guangdong, P. R. China.
  • Chaojun Wu
    Department of Medical Ultrasound, Maoming People's Hospital, Maoming, 525011, Guangdong, P. R. China.
  • Shaofeng Wu
    Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, P.R. China.
  • Yan Lin
  • Dayou Wei
    Department of Medical Ultrasound, Maoming People's Hospital, Maoming, 525011, Guangdong, P. R. China. weidayoumm@163.com.

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