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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Détails bibliographiques
Publié dans:Sci Rep
Auteurs principaux: 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
Format: Artigo
Langue:Inglês
Publié: Nature Publishing Group UK 2020
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Article
Accès en ligne: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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