Segmentation of multiple Organs-at-Risk associated with brain tumors based on coarse-to-fine stratified networks.

Journal: Medical physics
Published Date: Feb 16, 2023

Abstract

BACKGROUND: Delineation of Organs-at-Risks (OARs) is an important step in radiotherapy treatment planning. As manual delineation is time-consuming, labor-intensive and affected by inter- and intra-observer variability, a robust and efficient automatic segmentation algorithm is highly desirable for improving the efficiency and repeatability of OAR delineation.

Authors

  • Qianfei Zhao
    School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China.
  • Guotai Wang
    Wellcome / EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, UK.
  • Wenhui Lei
    School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China.
  • Hao Fu
    Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, P. R. China.
  • Yijie Qu
    School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China.
  • Jiangshan Lu
    School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China.
  • Shichuan Zhang
    Department of Radiation Oncology, Sichuan Cancer Hospital and Institute, University of Electronic Science and Technology of China, Chengdu, China.
  • Shaoting Zhang

Keywords

External Resources

Popular Topics
Recent Journals