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1 Ergebnisse
1
Incorporating spatial dose metrics in machine learning-base..:
Jamie Dean
;
Kee Wong
;
Hiram Gay
...
http://www.sciencedirect.com/science/article/pii/S2405630817300460. , 2018
Link:
https://doi.org/10.1016/j.ctro.2017.11.009
RT Journal T1 <Title>Incorporating spatial dose metrics in machine learning-based normal tissue complication probability (NTCP) models of severe acute dysphagia resulting from head and neck radiotherapy</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:13d34f39398248ddbc6e61ff9e1bd026&Exemplar=1&LAN=DE A1 Jamie Dean A1 Kee Wong A1 Hiram Gay A1 Liam Welsh A1 Ann-Britt Jones A1 Ulricke Schick A1 Jung Hun Oh A1 Aditya Apte A1 Kate Newbold A1 Shreerang Bhide A1 Kevin Harrington A1 Joseph Deasy A1 Christopher Nutting A1 Sarah Gulliford PB Elsevier YR 2018 K1 Medical physics. Medical radiology. Nuclear medicine K1 R895-920 K1 Neoplasms. Tumors. Oncology. Including cancer and carcinogens K1 RC254-282 JF http://www.sciencedirect.com/science/article/pii/S2405630817300460 LK http://dx.doi.org/https://doi.org/10.1016/j.ctro.2017.11.009 DO https://doi.org/10.1016/j.ctro.2017.11.009 SF ELIB - SuUB Bremen
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