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DataSheet_1_Validation of clinical acceptability of deep-le..:
J. John Lucido
;
Todd A. DeWees
;
Todd R. Leavitt
...
doi:10.3389/fonc.2023.1137803.s001. , 2023
Link:
https://doi.org/10.3389/fonc.2023.1137803.s001
RT Journal T1
DataSheet_1_Validation of clinical acceptability of deep-learning-based automated segmentation of organs-at-risk for head-and-neck radiotherapy treatment planning.pdf
UL https://suche.suub.uni-bremen.de/peid=base-ftfrontimediafig:oai:figshare.com:article_22565848&Exemplar=1&LAN=DE A1 J. John Lucido A1 Todd A. DeWees A1 Todd R. Leavitt A1 Aman Anand A1 Chris J. Beltran A1 Mark D. Brooke A1 Justine R. Buroker A1 Robert L. Foote A1 Olivia R. Foss A1 Angela M. Gleason A1 Teresa L. Hodge A1 Cían O. Hughes A1 Ashley E. Hunzeker A1 Nadia N. Laack A1 Tamra K. Lenz A1 Michelle Livne A1 Megumi Morigami A1 Douglas J. Moseley A1 Lisa M. Undahl A1 Yojan Patel A1 Erik J. Tryggestad A1 Megan Z. Walker A1 Alexei Zverovitch A1 Samir H. Patel YR 2023 K1 Cancer K1 Cancer Cell Biology K1 Cancer Diagnosis K1 Cancer Genetics K1 Cancer Therapy (excl. Chemotherapy and Radiation Therapy) K1 Chemotherapy K1 Haematological Tumours K1 Molecular Targets K1 Radiation Therapy K1 Solid Tumours K1 Oncology and Carcinogenesis not elsewhere classified K1 deep learning K1 autosegmentation K1 head and neck cancer K1 clinical validation K1 comprehensive K1 organs-at-risk JF doi:10.3389/fonc.2023.1137803.s001 LK http://dx.doi.org/https://doi.org/10.3389/fonc.2023.1137803.s001 DO https://doi.org/10.3389/fonc.2023.1137803.s001 SF ELIB - SuUB Bremen
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