CirnetamorNet: An ultrasonic temperature measurement network for microwave hyperthermia based on deep learning.

Journal: SLAS technology
Published Date: May 9, 2025

Abstract

OBJECTIVE: Microwave thermotherapy is a promising approach for cancer treatment, but accurate noninvasive temperature monitoring remains challenging. This study aims to achieve accurate temperature prediction during microwave thermotherapy by efficiently integrating multi-feature data, thereby improving the accuracy and reliability of noninvasive thermometry techniques.

Authors

  • Fanbing Cui
    School of Digital and Intelligence Industry, Inner Mongolia University of Science and Technology, 7 Alding Street, Baotou, 014010, China.
  • Yongxing Du
    Department of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, China.
  • Ling Qin
    Musculoskeletal Research Laboratory, Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China.
  • Baoshan Li
    Department of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, China.
  • Chenlu Li
    School of Digital and Intelligence Industry, Inner Mongolia University of Science and Technology, 7 Alding Street, Baotou, 014010, China.
  • Xianwei Meng
    Laboratory of Controllable Preparation and Application of Nanomaterials, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing 100190, China.

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