More Efficient Auto-Segmentation Framework Using Patient -Specific Information for CBCT-Guided Adaptive Radiotherapy

被引：0
|
作者：
Liu, Y. [1 ]
Yang, B. [1 ]
Chen, X. [1 ]
Zhu, J. [1 ]
Yuan, S. [1 ]
Dai, J. [1 ]
Men, K. [1 ]
机构：
[1] Chinese Acad Med Sci & Peking Union Med Coll, Dept Radiat Oncol, Natl Canc Ctr, Natl Clin Res Ctr Canc,Canc Hosp, Beijing, 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：
269
引用
收藏
页码：S87 / S87
页数：1
相关论文
共 46 条
  • [31] Prior information guided auto-segmentation of clinical target volume of tumor bed in postoperative breast cancer radiotherapy
    Xie, Xin
    Song, Yuchun
    Ye, Feng
    Wang, Shulian
    Yan, Hui
    Zhao, Xinming
    Dai, Jianrong
    RADIATION ONCOLOGY, 2023, 18 (01)
  • [32] Radiographer-Led, CBCT-Guided Online Adaptive Radiotherapy for Muscle Invasive Bladder Cancer Using Artificial Intelligence
    Shelley, C.
    Hollingdale, R.
    Bolt, M.
    Rashid, M.
    Reinlo, S.
    Fazel, N.
    Thorpe, C.
    Chadwick, S.
    Barnard, A.
    South, C. P.
    Goh, C.
    Adams, E. J.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2022, 114 (03): : E105 - E105
  • [33] Patient-Specific Auto-Segmentation of Target and OARs via Deep Learning on Daily Fan-Beam CT for Adaptive Prostate Radiotherapy
    Chen, Y.
    Butler, S.
    Xing, L.
    Han, B.
    Bagshaw, H. P.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2022, 114 (03): : E553 - E554
  • [34] An Intentionally-Overfitting Automatic Contour Quality Assurance Tool for Auto-Segmentation in MR-Guided Online Adaptive Radiotherapy
    Zhang, Y.
    Zarenia, M.
    Sarosiek, C.
    Amjad, A.
    Conlin, R.
    Erickson, B. A.
    Hall, W. A.
    Paulson, E. S.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2024, 120 (02): : E208 - E208
  • [35] Feasibility of Cardiac Chamber Auto-Segmentation and Dose Optimization for MR-Guided Online Adaptive Radiotherapy of Central Lung Cancer
    Chen, X.
    Weng, J.
    Ding, Y.
    Sobremonte, A.
    Mohammedsaid, M.
    Zhao, Y.
    Zhang, X.
    Niedzielski, J.
    Shete, S. S.
    Court, L. E.
    Liao, Z.
    Wang, J.
    Lee, P.
    Yang, J.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2024, 120 (02): : E202 - E202
  • [36] A Prior Knowledge Guided Deep Learning Model for GTV Auto-Segmentation On 4DMRI in MR-Guided Adaptive Radiotherapy of Pancreatic Cancer
    Liang, Y.
    Zhang, Y.
    Hall, W.
    Paulson, E.
    Chen, X.
    Erickson, B.
    Li, X.
    MEDICAL PHYSICS, 2021, 48 (06)
  • [37] A Generalizable Guided Deep Learning Auto-Segmentation Method of Pancreatic GTV on Multi-Protocol Daily MRIs for MR-Guided Adaptive Radiotherapy
    Zhang, Y.
    Liang, Y.
    Hall, W. A.
    Paulson, E. S.
    Chen, X.
    Erickson, B. A.
    Li, A.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2021, 111 (03): : E113 - E113
  • [38] A Deep Learning U-Net Based Model to Automatically Correct Inaccurate Auto-Segmentation for MR-Guided Adaptive Radiotherapy
    Ding, J.
    Zhang, Y.
    Amjad, A.
    Sarosiek, C.
    Dang, N.
    Li, X.
    MEDICAL PHYSICS, 2022, 49 (06) : E553 - E553
  • [39] Feasibility of Using a Deep Learning Auto-Segmentation Software Trained with Planning CT for Iterative CBCT Based Online Adaptive Prostate Treatment
    Duan, J.
    Bernard, M. E.
    Latorre, J.
    Feng, X.
    Chen, Q.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2022, 114 (03): : E582 - E582
  • [40] Incorporating patient-specific prior clinical knowledge to improve clinical target volume auto-segmentation generalisability for online adaptive radiotherapy of rectal cancer: A multicenter validation
    Silverio, Nicole Ferreira
    van den Wollenberg, Wouter
    Betgen, Anja
    Wiersema, Lisa
    Marijnen, Corrie A. M.
    Peters, Femke
    van der Heide, Uulke A.
    Simoes, Rita
    Intven, Martijn P. W.
    van der Bijl, Erik
    Janssen, Tomas
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2024, 15 (12)
12345