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

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Publication date:
August 16, 2023
DOI:
10.14278/rodare.2438

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10.14278/rodare.2438

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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
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Version 1 10.14278/rodare.2438 Aug 16, 2023
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