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1 Ergebnisse
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CT-based deep multi-label learning prediction model for out..:
Ma, Baoqiang
;
Guo, Jiapan
;
Zhai, Tian Tian
...
https://research.rug.nl/en/publications/5673face-880c-450d-a7d2-f3b742553e1c. , 2023
Link:
https://hdl.handle.net/11370/5673face-880c-450d-a7d2-f..
RT Journal T1 <Title>CT-based deep multi-label learning prediction model for outcome in patients with oropharyngeal squamous cell carcinoma</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftunigroningenpu:oai:pure.rug.nl:publications_5673face-880c-450d-a7d2-f3b742553e1c&Exemplar=1&LAN=DE A1 Ma, Baoqiang A1 Guo, Jiapan A1 Zhai, Tian Tian A1 van der Schaaf, Arjen A1 Steenbakkers, Roel J.H.M A1 van Dijk, Lisanne V A1 Both, Stefan A1 Langendijk, Johannes A A1 Zhang, Weichuan A1 Qiu, Bingjiang A1 van Ooijen, Peter M.A A1 Sijtsema, Nanna M YR 2023 K1 computed tomography K1 deep learning K1 head and neck cancer K1 multi-label learning K1 oropharyngeal squamous cell carcinoma K1 outcome prediction JF https://research.rug.nl/en/publications/5673face-880c-450d-a7d2-f3b742553e1c LK http://dx.doi.org/https://hdl.handle.net/11370/5673face-880c-450d-a7d2-f3b742553e1c DO https://hdl.handle.net/11370/5673face-880c-450d-a7d2-f3b742553e1c SF ELIB - SuUB Bremen
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