يعرض 1 - 2 نتائج من 2 نتيجة بحث عن '"Lisa M. Undahl"', وقت الاستعلام: 0.37s تنقيح النتائج
  1. 1
    Academic Journal
    Validation of clinical acceptability of deep-learning-based automated segmentation of organs-at-risk for head-and-neck radiotherapy treatment planning

    المؤلفون: J. John Lucido, Todd A. DeWees, Todd R. Leavitt, Aman Anand, Chris J. Beltran, Mark D. Brooke, Justine R. Buroker, Robert L. Foote, Olivia R. Foss, Angela M. Gleason, Teresa L. Hodge, Cían O. Hughes, Ashley E. Hunzeker, Nadia N. Laack, Tamra K. Lenz, Michelle Livne, Megumi Morigami, Douglas J. Moseley, Lisa M. Undahl, Yojan Patel, Erik J. Tryggestad, Megan Z. Walker, Alexei Zverovitch, Samir H. Patel

    المصدر: Frontiers in Oncology, Vol 13 (2023)

    مصطلحات موضوعية: deep learning, autosegmentation, head and neck cancer, radiation therapy, clinical validation, comprehensive, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

    وصف الملف: electronic resource

    Relation: https://www.frontiersin.org/articles/10.3389/fonc.2023.1137803/full; https://doaj.org/toc/2234-943X

    URL الوصول: https://doaj.org/article/b0a186e4d81f46cfb58fca481113cd77

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  2. 2
    DataSheet_1_Validation of clinical acceptability of deep-learning-based automated segmentation of organs-at-risk for head-and-neck radiotherapy treatment planning.pdf

    المؤلفون: J. John Lucido, Todd A. DeWees, Todd R. Leavitt, Aman Anand, Chris J. Beltran, Mark D. Brooke, Justine R. Buroker, Robert L. Foote, Olivia R. Foss, Angela M. Gleason, Teresa L. Hodge, Cían O. Hughes, Ashley E. Hunzeker, Nadia N. Laack, Tamra K. Lenz, Michelle Livne, Megumi Morigami, Douglas J. Moseley, Lisa M. Undahl, Yojan Patel, Erik J. Tryggestad, Megan Z. Walker, Alexei Zverovitch, Samir H. Patel

    مصطلحات موضوعية: Cancer, Cancer Cell Biology, Cancer Diagnosis, Cancer Genetics, Cancer Therapy (excl. Chemotherapy and Radiation Therapy), Chemotherapy, Haematological Tumours, Molecular Targets, Radiation Therapy, Solid Tumours, Oncology and Carcinogenesis not elsewhere classified, deep learning, autosegmentation, head and neck cancer, clinical validation, comprehensive, organs-at-risk

    Relation: https://figshare.com/articles/dataset/DataSheet_1_Validation_of_clinical_acceptability_of_deep-learning-based_automated_segmentation_of_organs-at-risk_for_head-and-neck_radiotherapy_treatment_planning_pdf/22565848

    الاتاحة: https://doi.org/10.3389/fonc.2023.1137803.s001
    https://figshare.com/articles/dataset/DataSheet_1_Validation_of_clinical_acceptability_of_deep-learning-based_automated_segmentation_of_organs-at-risk_for_head-and-neck_radiotherapy_treatment_planning_pdf/22565848

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