A Deep Learning U-Net Based Model to Automatically Correct Inaccurate Auto-Segmentation for MR-Guided Adaptive Radiotherapy

被引：0
|
作者：
Ding, J. [1 ]
Zhang, Y. [1 ]
Amjad, A. [1 ]
Sarosiek, C. [1 ]
Dang, N. [1 ]
Li, X. [1 ]
机构：
[1] Med Coll Wisconsin, Milwaukee, WI USA
来源：
MEDICAL PHYSICS | 2022年 / 49卷 / 06期
基金：
美国国家卫生研究院;
关键词：
D O I：
暂无
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
WE-G-BRC-0
引用
收藏
页码：E553 / E553
页数：1
相关论文
共 50 条
  • [31] Deep learning-based prediction of deliverable adaptive plans for MR-guided adaptive radiotherapy: A feasibility study
    Buchanan, Laura
    Hamdan, Saleh
    Zhang, Ying
    Chen, Xinfeng
    Li, X. Allen
    FRONTIERS IN ONCOLOGY, 2023, 13
  • [32] Patient-Specific Deep Learning Auto-Segmentation for MRGuided Adaptive Radiotherapy of Prostate Cancer
    Amad, A.
    Chen, X.
    Hall, W. A.
    Lawton, C. A. F.
    Li, A.
    Paulson, E. S.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2023, 117 (02): : E638 - E639
  • [33] Bladder Wall Segmentation using U-Net based Deep Learning
    Ivanitskiy, Michael
    Hadjiiski, Lubomir
    Chan, Heang-Ping
    Samala, Ravi
    Cohan, Richard H.
    Caoili, Elaine M.
    Weizer, Alon
    Alva, Ajjai
    Wei, Jun
    Zhou, Chuan
    MEDICAL IMAGING 2020: COMPUTER-AIDED DIAGNOSIS, 2020, 11314
  • [34] U-Net based deep learning bladder segmentation in CT urography
    Ma, Xiangyuan
    Hadjiiski, Lubomir M.
    Wei, Jun
    Chan, Heang-Ping
    Cha, Kenny H.
    Cohan, Richard H.
    Caoili, Elaine M.
    Samala, Ravi
    Zhou, Chuan
    Lu, Yao
    MEDICAL PHYSICS, 2019, 46 (04) : 1752 - 1765
  • [35] Evaluation of deep learning-based auto-segmentation of OARs for breast cancer radiotherapy
    Byun, H. K.
    Chang, J. S.
    Choi, M. S.
    Chun, J.
    Jung, J.
    Jeong, C.
    Kim, J. S.
    Chang, Y.
    Lee, S.
    Kim, Y. B.
    RADIOTHERAPY AND ONCOLOGY, 2021, 161 : S952 - S952
  • [36] Prior knowledge based deep learning auto-segmentation in magnetic resonance imaging-guided radiotherapy of prostate cancer
    Kawula, Maria
    Vagni, Marica
    Cusumano, Davide
    Boldrini, Luca
    Placidi, Lorenzo
    Corradini, Stefanie
    Belka, Claus
    Landry, Guillaume
    Kurz, Christopher
    PHYSICS & IMAGING IN RADIATION ONCOLOGY, 2023, 28
  • [37] Impact of Deep Learning Auto Segmentation Accuracy on Duodenal Dose-Volume Parameters for Pancreas SBRT Patients Treated with MR-Guided Online Adaptive Radiotherapy
    Conlin, R.
    Amjad, A.
    Zhang, Y.
    Erickson, B. A.
    Hall, W. A.
    Sarosiek, C.
    Zarenia, M.
    Paulson, E. S.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2024, 120 (02): : E616 - E617
  • [38] A Fundus Retinal Vessels Segmentation Scheme Based on the Improved Deep Learning U-Net Model
    Pan, Xiuqin
    Zhang, Qinrui
    Zhang, Hong
    Li, Sumin
    IEEE ACCESS, 2019, 7 : 122634 - 122643
  • [39] Deep learning based direct segmentation assisted by deformable image registration for cone-beam CT based auto-segmentation for adaptive radiotherapy
    Liang, Xiao
    Morgan, Howard
    Bai, Ti
    Dohopolski, Michael
    Nguyen, Dan
    Jiang, Steve
    PHYSICS IN MEDICINE AND BIOLOGY, 2023, 68 (04):
  • [40] Automated Segmentation Based on Residual U-Net Model for MR Prostate Images
    Qin Xiangxiang
    Zhu Yu
    Zheng Bingbing
    2018 11TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI 2018), 2018,
12345