Deep learning architecture with transformer and semantic field alignment for voxel-level dose prediction on brain tumors.

Journal: Medical physics
Published Date: Dec 5, 2022

Abstract

PURPOSE: The use of convolution neural networks (CNN) to accurately predict dose distributions can accelerate intensity-modulated radiation therapy (IMRT) planning. The purpose of our study is to develop a novel deep learning architecture for precise voxel-level dose prediction on brain tumors.

Authors

  • Jinna Yang
    School of Automation, Central South University, Changsha, China.
  • Yuqian Zhao
    Center for Cancer Prevention Research, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
  • Fan Zhang
    Department of Anesthesiology, Bishan Hospital of Chongqing Medical University, Chongqing, China.
  • Miao Liao
    Department of Biomedical and Information Engineering, Central South University, Changsha 410083, China.
  • Xiaoyu Yang
    Beijing Jishuitan Hospital, Beijing, China.

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