Dosimetry Validation Study for Automated Head and Neck Cancer Organs at Risk Segmentation Using Stratified Learning and Neural Architecture Search

被引:0
|
作者
Ge, J. [1 ]
Guo, D. [2 ]
Ye, X. [3 ]
Song, Y. [1 ]
Hua, X. [4 ]
Lu, L. [2 ]
Lin, C. Y. [5 ,6 ]
Jin, D. [2 ]
Ho, T. Y. [7 ]
机构
[1] Zhejiang Univ, Sch Med, Affiliated Hosp 1, Dept Radiat Oncol, Hangzhou, Peoples R China
[2] Alibaba Grp USA Inc, New York, NY USA
[3] Zhejiang Univ, Sch Med, Affiliated Hosp 1, Dept Radiat Oncol, Hangzhou, Peoples R China
[4] Alibaba Grp Hangzhou Inc, Hangzhou, Peoples R China
[5] Chang Gung Mem Hosp, Dept Radiat Oncol, Taoyuan, Taiwan
[6] Chang Gung Mem Hosp, Proton Ctr, Taoyuan, Taiwan
[7] Chang Gung Mem Hosp, Dept Nucl Med, Taoyuan, Taiwan
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
3309
引用
收藏
页码:E583 / E583
页数:1
相关论文
共 50 条
  • [1] Comprehensive Head and Neck Organs at Risk Segmentation Using Stratified Learning and Neural Architecture Search
    Ho, T. Y.
    Guo, D.
    Jin, D.
    Zhu, Z.
    Hung, T. M.
    Xiao, J.
    Lu, L.
    Lin, C. Y.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2021, 111 (03): : E369 - E370
  • [2] Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search
    Guo, Dazhou
    Jin, Dakai
    Zhu, Zhuotun
    Ho, Tsung-Ying
    Harrison, Adam P.
    Chao, Chun-Hung
    Xiao, Jing
    Lu, Le
    2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2020, : 4222 - 4231
  • [3] A convolutional neural network algorithm for automatic segmentation of head and neck organs at risk using deep lifelong learning
    Chan, Jason W.
    Kearney, Vasant
    Haaf, Samuel
    Wu, Susan
    Bogdanov, Madeleine
    Reddick, Mariah
    Dixit, Nayha
    Sudhyadhom, Atchar
    Chen, Josephine
    Yom, Sue S.
    Solberg, Timothy D.
    MEDICAL PHYSICS, 2019, 46 (05) : 2204 - 2213
  • [4] Neural Architecture Search Using Metaheuristics for Automated Cell Segmentation
    Kus, Zeki
    Aydin, Musa
    Kiraz, Berna
    Can, Burhanettin
    METAHEURISTICS, MIC 2022, 2023, 13838 : 158 - 171
  • [5] Validation of clinical acceptability of deep-learning-based automated segmentation of organs-at-risk for head-and-neck radiotherapy treatment planning
    Lucido, J. John
    DeWees, Todd A.
    Leavitt, Todd R.
    Anand, Aman
    Beltran, Chris J.
    Brooke, Mark D.
    Buroker, Justine R.
    Foote, Robert L.
    Foss, Olivia R.
    Gleason, Angela M.
    Hodge, Teresa L.
    Hughes, Cian O.
    Hunzeker, Ashley E.
    Laack, Nadia N.
    Lenz, Tamra K.
    Livne, Michelle
    Morigami, Megumi
    Moseley, Douglas J.
    Undahl, Lisa M.
    Patel, Yojan
    Tryggestad, Erik J.
    Walker, Megan Z.
    Zverovitch, Alexei
    Patel, Samir H.
    FRONTIERS IN ONCOLOGY, 2023, 13
  • [6] PCG-net: feature adaptive deep learning for automated head and neck organs-at-risk segmentation
    Luan, Shunyao
    Wei, Changchao
    Ding, Yi
    Xue, Xudong
    Wei, Wei
    Yu, Xiao
    Wang, Xiao
    Ma, Chi
    Zhu, Benpeng
    FRONTIERS IN ONCOLOGY, 2023, 13
  • [7] Deep-learning-based Detection and Segmentation of Organs at Risk in Head and Neck
    Wu, Xueyu
    Wang, Zhonghua
    PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020), 2020, : 910 - 915
  • [8] A Prospective Observational Study of Clinical Acceptability of Deep Learning Model for the Automated Segmentation of Organs at Risk for Head and Neck Radiotherapy Treatment Planning
    Lucido, J.
    DeWees, T. A.
    Leavitt, T.
    Anand, A.
    Beltran, C.
    Brooke, M.
    Buroker, J.
    Foote, R. L.
    Foss, O. R.
    Hughes, C. O.
    Hunzeker, A.
    Laack, N. N., II
    Lenz, T.
    Morigami, M.
    Moseley, D. J.
    Patel, Y.
    Tryggestad, E. J.
    Wilson, M. Z.
    Zverovitch, A.
    Patel, S. H.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2022, 114 (03): : E121 - E121
  • [9] Validation of clinical acceptability of an atlas-based segmentation algorithm for the delineation of organs at risk in head and neck cancer
    Duc, Albert K. Hoang
    Eminowicz, Gemma
    Mendes, Ruheena
    Wong, Swee-Ling
    McClelland, Jamie
    Modat, Marc
    Cardoso, M. Jorge
    Mendelson, Alex F.
    Veiga, Catarina
    Kadir, Timor
    D'Souza, Derek
    Ourselin, Sebastien
    MEDICAL PHYSICS, 2015, 42 (09) : 5027 - 5034
  • [10] Benefits of deep learning for delineation of organs at risk in head and neck cancer
    Van der Veen, J.
    Willems, S.
    Robben, D.
    Crijns, W.
    Maes, F.
    Nuyts, S.
    RADIOTHERAPY AND ONCOLOGY, 2019, 133 : S371 - S371