Evaluation of a Deep Learning-Based Auto-Segmentation Tool for Online Adaptive Radiation Therapy

被引:1
|
作者
Amjad, A. [1 ]
Thill, D. [2 ]
Lawton, C. A. F. [1 ]
O'Connell, N. [2 ]
Hall, W. A. [1 ]
Li, A. [1 ]
机构
[1] Med Coll Wisconsin, Dept Radiat Oncol, Milwaukee, WI 53226 USA
[2] Global Eng NA Elekta, Maryland Hts, MD USA
关键词
D O I
10.1016/j.ijrobp.2019.06.750
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
3832
引用
收藏
页码:E785 / E786
页数:2
相关论文
共 50 条
  • [31] Evaluation of deep learning-based target auto-segmentation for Magnetic Resonance Imaging-guided cervix brachytherapy
    Simoes, Rita
    Rijkmans, Eva C.
    Schaake, Eva E.
    Nowee, Marlies E.
    van der Velden, Sandra
    Janssen, Tomas
    PHYSICS & IMAGING IN RADIATION ONCOLOGY, 2024, 32
  • [32] Evaluation of Deep Learning-Based Auto-Segmentation of Target Volume and Organs-at-Risk in Breast Cancer Patients
    Chung, S. Y.
    Chang, J. S.
    Chang, Y.
    Choi, B. S.
    Chun, J.
    Kim, J. S.
    Kim, Y. B.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2020, 108 (03): : E779 - E779
  • [33] Auto-Segmentation of Important Centers of Growth in the Pediatric Skeleton to Consider During Radiation Therapy Based on Deep Learning
    Qiu, W.
    Zhang, W.
    Ma, X.
    Zhou, Q.
    Zhu, J.
    MEDICAL PHYSICS, 2021, 48 (06)
  • [34] Deep-Learning Based Auto-Segmentation for Liver Yttrium-90 Selective Internal Radiation Therapy
    Li, J.
    Choi, W.
    Anne, P. R.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2023, 117 (02): : E684 - E685
  • [35] Auto-segmentation of important centers of growth in the pediatric skeleton to consider during radiation therapy based on deep learning
    Qiu, Wenlong
    Zhang, Wei
    Ma, Xingmin
    Kong, Youyong
    Shi, Pengyue
    Fu, Min
    Wang, Dandan
    Hu, Man
    Zhou, Xianjun
    Dong, Qian
    Zhou, Qichao
    Zhu, Jian
    MEDICAL PHYSICS, 2023, 50 (01) : 284 - 296
  • [36] Clinical evaluation of deep learning-based clinical target volume three-channel auto-segmentation algorithm for adaptive radiotherapy in cervical cancer
    Ma, Chen-ying
    Zhou, Ju-ying
    Xu, Xiao-ting
    Qin, Song-bing
    Han, Miao-fei
    Cao, Xiao-huan
    Gao, Yao-zong
    Xu, Lu
    Zhou, Jing-jie
    Zhang, Wei
    Jia, Le-cheng
    BMC MEDICAL IMAGING, 2022, 22 (01)
  • [37] The dosimetric impact of deep learning-based auto-segmentation of organs at risk on nasopharyngeal and rectal cancer
    Guo, Hongbo
    Wang, Jiazhou
    Xia, Xiang
    Zhong, Yang
    Peng, Jiayuan
    Zhang, Zhen
    Hu, Weigang
    RADIATION ONCOLOGY, 2021, 16 (01)
  • [38] Uncertainty map for error prediction in deep learning-based head and neck tumor auto-segmentation
    Ren, J.
    Teuwen, J.
    Nijkamp, J.
    Rasmussen, M.
    Eriksen, J.
    Sonke, J.
    Korreman, S.
    RADIOTHERAPY AND ONCOLOGY, 2022, 170 : S688 - S689
  • [39] 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):
  • [40] Analyzing Performance of Atlas-Based and Deep Learning-Based Auto-Segmentation in Breast Cancer Patients
    Weiland, M.
    Kisling, K.
    MEDICAL PHYSICS, 2021, 48 (06)