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pro vyhledávání: '"Olivia R. Foss"'
Autor:
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
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
IntroductionOrgan-at-risk segmentation for head and neck cancer radiation therapy is a complex and time-consuming process (requiring up to 42 individual structure, and may delay start of treatment or even limit access to function-preserving care. Fea
Externí odkaz:
https://doaj.org/article/b0a186e4d81f46cfb58fca481113cd77
Autor:
Aman Anand, Chris J. Beltran, Mark D. Brooke, Justine R. Buroker, Todd A. DeWees, Robert L. Foote, Olivia R. Foss, Cían O. Hughes, Ashley E. Hunzeker, J. John Lucido, Megumi Morigami, Douglas J. Moseley, Deanna H. Pafundi, Samir H. Patel, Yojan Patel, Ana K. Ridgway, Erik J. Tryggestad, Megan Z. Wilson, Lihong Xi, Alexei Zverovitch
This document reports the design of a retrospective study to validate the clinical acceptability of a deep-learning-based model for the autosegmentation of organs-at-risk (OARs) for use in radiotherapy treatment planning for head & neck (H&N) cancer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::365566018580d9723e72b27c7cad0222
https://doi.org/10.1101/2021.12.07.21266421
https://doi.org/10.1101/2021.12.07.21266421