2D and 3D convolutional neural networks for outcome modelling of locally advanced head and neck squamous cell carcinoma

For treatment individualisation of patients with locally advanced head and neck squamous cell carcinoma (HNSCC) treated with primary radiochemotherapy, we explored the capabilities of different deep learning approaches for predicting loco-regional tumour control (LRC) from treatment-planning compute...

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Publicado no:Sci Rep
Main Authors: Starke, Sebastian, Leger, Stefan, Zwanenburg, Alex, Leger, Karoline, Lohaus, Fabian, Linge, Annett, Schreiber, Andreas, Kalinauskaite, Goda, Tinhofer, Inge, Guberina, Nika, Guberina, Maja, Balermpas, Panagiotis, von der Grün, Jens, Ganswindt, Ute, Belka, Claus, Peeken, Jan C., Combs, Stephanie E., Boeke, Simon, Zips, Daniel, Richter, Christian, Troost, Esther G. C., Krause, Mechthild, Baumann, Michael, Löck, Steffen
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2020
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7518264/
https://ncbi.nlm.nih.gov/pubmed/32973220
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-70542-9
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