Clinical prior Knowledge-Based One-Shot Learning for Automatic Delineation of Clinical Target Volumes in Adaptation Radiotherapy of Cervical Cancer

被引：0
|
作者：
Sun, S. [1 ]
Sun, X. [2 ]
Liang, Y. [3 ]
Wang, J. [3 ]
Sun, Y. [1 ]
Wang, Y. [1 ]
Liang, H. [1 ]
Hu, K. [1 ]
Zhang, F. [1 ]
Lin, F. Y. [2 ]
Liu, Y. [2 ]
He, S. M. [4 ]
Zhang, W. [5 ]
机构：
[1] Chinese Acad Med Sci & Peking Union Med Coll, Peking Union Med Coll Hosp, Beijing, Peoples R China
[2] United Imaging Res Inst Innovat Med Equipment, Shenzhen, Peoples R China
[3] Chinese Acad Med Sci & Peking Union Med Coll, Peking Union Med Coll Hosp, Dept Radiat Oncol, Beijing, Peoples R China
[4] United Imaging Res Inst Intelligent Imaging, Beijing, Peoples R China
[5] Shanghai United Imaging Healthcare Co Ltd, Shanghai, Peoples R China
来源：
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS | 2023年 / 117卷 / 02期
关键词：
D O I：
暂无
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
3064
引用
收藏
页码：E488 / E488
页数：1
相关论文
共 50 条
  • [1] Automatic delineation of clinical target volumes and organs at risk in cervical cancer radiotherapy using ResAU-Net
    Liu, Xueping
    Zhao, Guiping
    Ding, Silu
    Bai, Shi
    Zhang, Jiahui
    Lu, Yukai
    Du, Jingjing
    Liu, Xingya
    Journal of Biotech Research, 2024, 17 : 166 - 179
  • [2] GTV Based Automatic Delineation of Clinical Target Volume for Cervical Cancer
    Mao, X.
    Mao, S.
    Lu, S.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2023, 117 (02): : E694 - E694
  • [3] Automatic delineation of cervical cancer target volumes in small samples based on multi-decoder and semi-supervised learning and clinical application
    Peng, Haibo
    Liu, Tao
    Li, Pengcheng
    Yang, Fang
    Luo, Xing
    Sun, Xiaoqing
    Gao, Dong
    Lin, Fengyu
    Jia, Lecheng
    Xu, Ningyue
    Tan, Huigang
    Wang, Xi
    Ren, Tao
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [4] A prior-information-based automatic segmentation method for the clinical target volume in adaptive radiotherapy of cervical cancer
    Wang, Xuanhe
    Chang, Yankui
    Pei, Xi
    Xu, Xie George
    JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2024, 25 (05):
  • [5] Delineation of clinical target volume and organs at risk in cervical cancer radiotherapy by deep learning networks
    Tian, Miao
    Wang, Hongqiu
    Liu, Xingang
    Ye, Yuyun
    Ouyang, Ganlu
    Shen, Yali
    Li, Zhiping
    Wang, Xin
    Wu, Shaozhi
    MEDICAL PHYSICS, 2023, 50 (10) : 6354 - 6365
  • [6] Reliable Delineation of Clinical Target Volumes for Cervical Cancer Radiotherapy on CT/MR Dual-Modality Images
    Sun, Ying
    Wang, Yuening
    Gan, Kexin
    Wang, Yuxin
    Chen, Ying
    Ge, Yun
    Yuan, Jie
    Xu, Hanzi
    JOURNAL OF IMAGING INFORMATICS IN MEDICINE, 2024, 37 (02): : 575 - 588
  • [7] Clinical target volume (CTV) automatic delineation using deep learning network for cervical cancer radiotherapy: A study with external validation
    Wu, Zhe
    Wang, Dong
    Xu, Cheng
    Peng, Shengxian
    Deng, Lihua
    Liu, Mujun
    Wu, Yi
    JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2025, 26 (01):
  • [8] Automatic clinical target volume delineation for cervical cancer in CT images using deep learning
    Shi, Jialin
    Ding, Xiaofeng
    Liu, Xien
    Li, Yan
    Liang, Wei
    Wu, Ji
    MEDICAL PHYSICS, 2021, 48 (07) : 3968 - 3981
  • [9] Deep learning-based auto-segmentation of clinical target volumes for radiotherapy treatment of cervical cancer
    Ma, Chen-Ying
    Zhou, Ju-Ying
    Xu, Xiao-Ting
    Guo, Jian
    Han, Miao-Fei
    Gao, Yao-Zong
    Du, Hui
    Stahl, Johannes N.
    Maltz, Jonathan S.
    JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2022, 23 (02):
  • [10] Clinical application and improvement of a CNN-based autosegmentation model for clinical target volumes in cervical cancer radiotherapy
    Chang, Yankui
    Wang, Zhi
    Peng, Zhao
    Zhou, Jieping
    Pi, Yifei
    Xu, X. George
    Pei, Xi
    JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2021, 22 (11): : 115 - 125
12345