Evaluation of a Deep-Learning Auto-Segmentation Model of Cardiac Substructures

被引:0
|
作者
Tam, A. [1 ]
Liu, J. R. [1 ]
Ketcherside, T. [1 ]
Eustace, N. J. [1 ,2 ]
Chen, Q. [3 ]
Chen, Y. J. [1 ]
Liu, A. [1 ]
机构
[1] City Hope Natl Med Ctr, Dept Radiat Oncol, Duarte, CA USA
[2] City Hope Natl Med Ctr, Duarte, CA USA
[3] Univ Kentucky, Lexington, KY USA
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
3585
引用
收藏
页码:E724 / E725
页数:2
相关论文
共 50 条
  • [1] Evaluation Of Deep-Learning Auto-Segmentation Methods In Cervix Cancer Patients
    Lancellotta, V.
    RADIOTHERAPY AND ONCOLOGY, 2022, 170 : S265 - S266
  • [2] Evaluation of Two Auto-Segmentation Approaches for Cardiac Substructures Delineation
    Uche, C. Z.
    Geng, H.
    Men, K.
    Zhong, H.
    Xiao, Y.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2020, 108 (03): : E301 - E301
  • [3] Improving data collection for deep-learning auto-segmentation models
    McSweeney, D.
    Bromiley, P. A.
    van Herk, M.
    Green, A.
    McWilliam, A.
    RADIOTHERAPY AND ONCOLOGY, 2021, 161 : S1397 - S1398
  • [4] Evaluation of an Externally Trained Deep-Learning Based GTV Auto-Segmentation Model for Head and Neck Cancer
    Rwigema, J. C.
    Bilaal, A.
    Tegtmeier, R. C.
    Holmes, J.
    Qian, J.
    McGee, L. A.
    Patel, S. H.
    Rong, Y.
    Chen, Q.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2024, 120 (02): : E109 - E109
  • [5] A Deep Learning Method for Auto-Segmentation of Cardiac Substructures on Non-Contrast Planning CTs in the RADCOMP Trial
    Lin, H.
    Zou, W.
    Kenworthy, W.
    Bosch, W. R.
    Lu, H.
    Li, T.
    Teo, K.
    Bekelman, J. E.
    Ky, B.
    Dong, L.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2020, 108 (03): : E310 - E310
  • [6] Improvements On Acute Gastrointestinal Toxicity Modeling by Using Deep-Learning Auto-Segmentation
    Salazar, R.
    Duryea, J.
    Leone, A.
    Nair, S.
    Mumme, R.
    Baroudi, H.
    Netherton, T.
    Holliday, E.
    Whitaker, T.
    Hoffman, K.
    Court, L.
    Niedzielski, J.
    MEDICAL PHYSICS, 2022, 49 (06) : E848 - E849
  • [7] Validation of an established deep learning auto-segmentation tool for cardiac substructures in 4D radiotherapy planning scans
    Walls, Gerard M.
    Giacometti, Valentina
    Apte, Aditya
    Thor, Maria
    McCann, Conor
    Hanna, Gerard G.
    'Connor, John
    Deasy, Joseph O.
    Hounsell, Alan R.
    Butterworth, Karl T.
    Cole, Aidan J.
    Jain, Suneil
    McGarry, Conor K.
    PHYSICS & IMAGING IN RADIATION ONCOLOGY, 2022, 23 : 118 - 126
  • [8] Clinical evaluation of a deep learning based auto-segmentation model for intracranial organs at risk
    Poel, Robert
    Ruefenacht, Elias
    Fix, Michael
    Scheib, Stefan
    Reyes, Mauricio
    Ermis, Ekin
    RADIOTHERAPY AND ONCOLOGY, 2024, 194 : S821 - S822
  • [9] A Deep Learning Auto-Segmentation Tool for Cardiac Substructures in 4D Radiotherapy Planning for Locally Advanced Lung Cancer
    Walls, G. M.
    Giacometti, V.
    Apte, A.
    Thor, M.
    McCann, C.
    Hanna, G. G.
    O'Connor, J.
    Deasy, J. O.
    Hounsell, A. R.
    Butterworth, K. T.
    Cole, A. J.
    Jain, S.
    McGarry, C. K.
    JOURNAL OF THORACIC ONCOLOGY, 2022, 17 (09) : S108 - S109
  • [10] Evaluation of a Deep-Learning Auto-Segmentation Model Trained with Planning CT On Regular CBCT and ICBCT Images for Prostate Online Adaptive Therapy
    Duan, J.
    Feng, X.
    Latorre, J.
    Chen, Q.
    MEDICAL PHYSICS, 2022, 49 (06) : E716 - E716