A feature fusion method based on radiomic features and revised deep features for improving tumor prediction in ultrasound images.

Journal: Computers in biology and medicine
Published Date: Dec 24, 2024

Abstract

BACKGROUND: Radiomic features and deep features are both vitally helpful for the accurate prediction of tumor information in breast ultrasound. However, whether integrating radiomic features and deep features can improve the prediction performance of tumor information is unclear.

Authors

  • Xianyang Wang
    School of Computer and Information, Anqing Normal University, Anqing, 246133, People's Republic of China.
  • Linlin Lv
    Department of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China.
  • Qingfeng Tang
    School of Computer and Information, Anqing Normal University, Anqing, China.
  • Guangjun Wang
    Institute of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences, Beijing, China.
  • Enci Shang
    School of Computer and Information, Anqing Normal University, Anqing, 246133, People's Republic of China.
  • Hang Zheng
    School of Environment and Civil Engineering, Dongguan University of Technology, Dongguan, 523808, China.
  • Liangliang Zhang
    State Key Laboratory for the Chemistry and Molecular Engineering of Medicinal Resources, Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection of Ministry Education, Guangxi Normal University, Guilin 541004, China.

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