Automated ICC Tool for a Novel Planning Incident Learning Environment

被引:0
|
作者
Ferguson, D. [1 ]
Hirata, E. [1 ]
Witztum, A. [1 ]
机构
[1] Univ Calif San Francisco, San Francisco, CA 94143 USA
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-D-TRACK
引用
收藏
页数:2
相关论文
共 50 条
  • [1] Clinical assessment of a novel machine-learning automated contouring tool for radiotherapy planning
    Hu, Yunfei
    Nguyen, Huong
    Smith, Claire
    Chen, Tom
    Byrne, Mikel
    Archibald-Heeren, Ben
    Rijken, James
    Aland, Trent
    JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2023, 24 (07):
  • [2] Evaluation of a Novel Automated Treatment Planning Tool for Cervical Cancer in IMRT
    Guo, J.
    Zhou, J.
    Chen, L.
    Ni, J.
    Xu, Y.
    Gan, G.
    Gon, W.
    Ma, C.
    Li, Y.
    Zhan, W.
    Xu, X.
    Qin, S.
    MEDICAL PHYSICS, 2020, 47 (06) : E613 - E613
  • [3] Using Machine Learning in an Automated Infant Motor Screening Tool for the Natural Environment
    Fair-Field, Teresa
    Modayur, Bharath
    AMERICAN JOURNAL OF OCCUPATIONAL THERAPY, 2019, 73 (04):
  • [4] PROCESS PLANNING IN AN AUTOMATED MANUFACTURING ENVIRONMENT
    KANUMURY, M
    CHANG, TC
    JOURNAL OF MANUFACTURING SYSTEMS, 1991, 10 (01) : 67 - 78
  • [5] The changing library environment: A planning tool
    Wilkins, CE
    INFORMATION REVOLUTION: PATHWAY TO THE 21ST CENTURY, 1996, : 70 - 84
  • [6] Automated Planning and Optimization of a Draping Processes Within the CATIA Environment Using a Python']Python Software Tool
    Koerber, M.
    Frommel, C.
    29TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING (FAIM 2019): BEYOND INDUSTRY 4.0: INDUSTRIAL ADVANCES, ENGINEERING EDUCATION AND INTELLIGENT MANUFACTURING, 2019, 38 : 808 - 815
  • [7] Clinical Experience of the Machine Learning-based Automated Treatment Planning Tool for Breast Radiotherapy
    Yoo, S.
    Sheng, Y.
    Blitzblau, R. C.
    McDuff, S.
    Champ, C. E.
    O'Neill, L.
    Catalano, S.
    Morrison, J.
    Yin, F. F.
    Wu, Q. J. J.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2020, 108 (03): : E261 - E261
  • [8] Disaster recovery planning in an automated manufacturing environment
    Iyer, RK
    Sarkis, J
    IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 1998, 45 (02) : 163 - 175
  • [9] Neuro-fuzzy learning for automated incident detection
    Viswanathan, M.
    Lee, S. H.
    Yang, Y. K.
    ADVANCES IN APPLIED ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2006, 4031 : 889 - 897
  • [10] A review of machine learning for automated planning
    Jimenez, Sergio
    De La Rosa, Tomas
    Fernandez, Susana
    Fernandez, Fernando
    Borrajo, Daniel
    KNOWLEDGE ENGINEERING REVIEW, 2012, 27 (04): : 433 - 467