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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Detaylı Bibliyografya
Yayımlandı:Sci Rep
Asıl Yazarlar: 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
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Nature Publishing Group UK 2020
Konular:
Article
Online Erişim: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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