Clinical target volume (CTV) automatic delineation using deep learning network for cervical cancer radiotherapy: A study with external validation.

Journal: Journal of applied clinical medical physics
PMID: 39401180

Abstract

PURPOSE: To explore the accuracy and feasibility of a proposed deep learning (DL) algorithm for clinical target volume (CTV) delineation in cervical cancer radiotherapy and evaluate whether it can perform well in external cervical cancer and endometrial cancer cases for generalization validation.

Authors

  • Zhe Wu
    School of Automation, Central South University, Changsha, China.
  • Dong Wang
    Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China.
  • Cheng Xu
    School of Photovoltaic and Renewable Energy Engineering, University of New South Wales, 2052 Sydney, Australia.
  • Shengxian Peng
    Department of Radiation Oncology, Zigong First People's Hospital, Sichuan, China.
  • Lihua Deng
    Department of Radiology, The First Affiliated Hospital of the Army Medical University, Chongqing, China.
  • Mujun Liu
    Department of Digital Medicine, School of Biomedical Engineering and Medical Imaging, Army Medical University (Third Military Medical University), Chongqing, China.
  • Yi Wu
    School of International Communication and Arts, Hainan University, Haikou, China.

Keywords

External Resources

Popular Topics
Recent Journals