Data publication: Multitask learning with convolutional neural networks and vision transformers can improve outcome prediction for head and neck cancer patients

DOI

This dataset contains the model checkpoints, predictions and performance metrics for the multitask neural networks presented in the corresponding manuscript.

Identifier
DOI https://doi.org/10.14278/rodare.2438
Related Identifier IsReferencedBy https://doi.org/10.3390/cancers15194897
Related Identifier IsIdenticalTo https://www.hzdr.de/publications/Publ-37408
Related Identifier IsReferencedBy https://www.hzdr.de/publications/Publ-37388
Related Identifier IsReferencedBy https://www.hzdr.de/publications/Publ-39339
Related Identifier IsPartOf https://doi.org/10.14278/rodare.2437
Related Identifier IsPartOf https://rodare.hzdr.de/communities/oncoray
Related Identifier IsPartOf https://rodare.hzdr.de/communities/rodare
Metadata Access https://rodare.hzdr.de/oai2d?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:rodare.hzdr.de:2438
Provenance
Creator Starke, Sebastian ORCID logo; 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 ORCID logo; Troost, Esther Gera Cornelia ORCID logo; Krause, Mechthild ORCID logo; Baumann, Michael; Löck, Steffen ORCID logo
Publisher Rodare
Publication Year 2023
Rights Closed Access; info:eu-repo/semantics/closedAccess
OpenAccess false
Contact https://rodare.hzdr.de/support
Representation
Language English
Resource Type Dataset
Discipline Life Sciences; Natural Sciences; Engineering Sciences