Dataset Open Access
2D and 3D convolutional neural networks for outcome modelling of locally advanced head and neck squamous cell carcinoma
Starke, Sebastian;
Leger, Stefan;
Zwanenburg, Alex;
Leger, Karoline;
Lohaus, Fabian;
Linge, Annett;
Schreiber, Andreas;
Kalinauskaite, Goda;
Tinhofer, Inge;
Guberina, Nika;
Guberina, Maja;
Balermpas, Panagiotis;
Grün, Jens von der;
Ganswindt, Ute;
Belka, Claus;
Peeken, Jan C.;
Combs, Stephanie E.;
Böke, Simon;
Zips, Daniel;
Richter, Christian;
Troost, Esther Gera Cornelia;
Krause, Mechthild;
Baumann, Michael;
Löck, Steffen
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962
327
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 962 | 962 |
| Downloads | 327 | 327 |
| Data volume | 38.6 TB | 38.6 TB |
| Unique views | 577 | 577 |
| Unique downloads | 64 | 64 |
- Publication date:
- February 27, 2020
- DOI:
-
- Keyword(s):
- convolutional neural networks Keras Deep learning head and neck cancer loco-regional-recurrence Cox proportional hazards
- Related identifiers:
- Identical to:
https://www.hzdr.de/publications/Publ-30759 - Referenced by:
https://www.hzdr.de/publications/Publ-30750 - Communities:
- License (for files):
- Creative Commons Attribution Non Commercial 4.0 International