Automated Intensity Modulated Radiation Therapy Treatment Planning for Cervical Cancer Based on Convolution Neural Network.

Journal: Technology in cancer research & treatment
Published Date: Jan 1, 2020

Abstract

PURPOSE: To develop and evaluate an automatic intensity-modulated radiation therapy (IMRT) program for cervical cancer, including a Convolution Neural Network (CNN)-based prediction model and an automated optimization strategy.

Authors

  • Chen Jihong
    Department of Radiation Oncology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, Fujian, China.
  • Bai Penggang
    Department of Radiation Oncology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, Fujian, China.
  • Zhang Xiuchun
    Department of Radiation Oncology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, Fujian, China.
  • Chen Kaiqiang
    Department of Radiation Oncology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, Fujian, China.
  • Chen Wenjuan
    Department of Radiation Oncology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, Fujian, China.
  • Dai Yitao
    Department of Radiation Oncology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, Fujian, China.
  • Qian Jiewei
    School of Nuclear Science and Technology, University of South China, Hengyang, China.
  • Quan Kerun
    School of Nuclear Science and Technology, University of South China, Hengyang, China.
  • Zhong Jing
    Department of Radiology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, Fujian, China.
  • Wu Tianming
    Department of Radiation and Cellular Oncology, The University of Chicago Medicine, IL, USA.

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