Cystic renal mass screening: machine-learning-based radiomics on unenhanced computed tomography.

Journal: Diagnostic and interventional radiology (Ankara, Turkey)
Published Date: Jan 2, 2024

Abstract

PURPOSE: The present study compares the diagnostic performance of unenhanced computed tomography (CT) radiomics-based machine learning (ML) classifiers and a radiologist in cystic renal masses (CRMs).

Authors

  • Lesheng Huang
    Guangdong Provincial Hospital of Chinese Medicine, Department of Radiology, Zhuhai, China
  • Yongsong Ye
    Guangdong Provincial Hospital of Chinese Medicine, Department of Radiology, Guangzhou, China
  • Jun Chen
    Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.
  • Wenhui Feng
    Zhuhai People’s Hospital, Department of Radiology, Zhuhai, China
  • Se Peng
    Guangdong Provincial Hospital of Chinese Medicine, Department of Laboratory Medicine, Zhuhai, China
  • Xiaohua Du
    Department of Pathology, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou, 510120, China.
  • Xiaodan Li
  • Zhixuan Song
    Philips Healthcare, Clinical and Technical Support, Guangzhou, China
  • Tianzhu Liu
    Guangdong Provincial Hospital of Chinese Medicine, Department of Radiology, Zhuhai, China

Keywords

External Resources

Popular Topics
Recent Journals