Dataset Closed Access
Data publication: Multitask learning with convolutional neural networks and vision transformers can improve outcome prediction for head and neck cancer patients
Starke, Sebastian;
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.;
Böke, Simon;
Zips, Daniel;
Richter, Christian;
Troost, Esther Gera Cornelia;
Krause, Mechthild;
Baumann, Michael;
Löck, Steffen
GeoJSON Export
{
"features": [],
"type": "FeatureCollection"
}
136
0
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 136 | 136 |
| Downloads | 0 | 0 |
| Data volume | 0 Bytes | 0 Bytes |
| Unique views | 128 | 128 |
| Unique downloads | 0 | 0 |
- Publication date:
- August 16, 2023
- DOI:
-
- Keyword(s):
- survival analysis vision transformer convolutional neural network multitask learning tumor segmentation head and neck cancer Cox proportional hazards loco-regional control progression-free survival discrete-time survival models
- Related identifiers:
- Identical to:
https://www.hzdr.de/publications/Publ-37408 - Referenced by:
10.3390/cancers15194897, https://www.hzdr.de/publications/Publ-37388, https://www.hzdr.de/publications/Publ-39339 - Communities: