Tissues margin-based analytical anisotropic algorithm boosting method via deep learning attention mechanism with cervical cancer.

Journal: International journal of computer assisted radiology and surgery
Published Date: Dec 2, 2022

Abstract

PURPOSE: Speed and accuracy are two critical factors in dose calculation for radiotherapy. Analytical Anisotropic Algorithm (AAA) is a rapid dose calculation algorithm but has dose errors in tissue margin area. Acuros XB (AXB) has high accuracy but takes long time to calculate. To improve the dose accuracy on the tissue margin area for AAA, we proposed a novel deep learning-based dose accuracy improvement method using Margin-Net combined with Margin-Loss.

Authors

  • Bo Yang
    Center for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, Zhejiang Province 311121, China.
  • Yaoying Liu
    School of Physics, Beihang University, Beijing, 102206, China.
  • Zhaocai Chen
    Manteia Technologies Co., Ltd, Xiamen, 361008, China.
  • Zhiqun Wang
    Department of Radiology, Aerospace Center Hospital, Beijing 100049, China.
  • Qichao Zhou
    Manteia Technologies Co., Ltd, Xiamen, P. R. China.
  • Jie Qiu
    Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China. Electronic address: qiujie@pumch.cn.

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