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1 Ergebnisse
1
Comparison of computed tomography image features extracted ..:
Ma, Baoqiang
;
Guo, Jiapan
;
Chu, Hung
...
https://research.rug.nl/en/publications/f8361c22-7048-4c3f-ac1c-4333eecb8111. , 2023
Link:
https://hdl.handle.net/11370/f8361c22-7048-4c3f-ac1c-4..
RT Journal T1 <Title>Comparison of computed tomography image features extracted by radiomics, self-supervised learning and end-to-end deep learning for outcome prediction of oropharyngeal cancer</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftunigroningenpu:oai:pure.rug.nl:publications_f8361c22-7048-4c3f-ac1c-4333eecb8111&Exemplar=1&LAN=DE A1 Ma, Baoqiang A1 Guo, Jiapan A1 Chu, Hung A1 van Dijk, Lisanne V A1 van Ooijen, Peter M.A A1 Langendijk, Johannes A A1 Both, Stefan A1 Sijtsema, Nanna M YR 2023 K1 Deep learning K1 Oropharynx carcinoma K1 Prognostic modeling K1 Radiomics K1 Self-supervised learning JF https://research.rug.nl/en/publications/f8361c22-7048-4c3f-ac1c-4333eecb8111 LK http://dx.doi.org/https://hdl.handle.net/11370/f8361c22-7048-4c3f-ac1c-4333eecb8111 DO https://hdl.handle.net/11370/f8361c22-7048-4c3f-ac1c-4333eecb8111 SF ELIB - SuUB Bremen
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