Multitask Learning with Convolutional Neural Networks and Vision Transformers Can Improve Outcome Prediction for Head and Neck Cancer Patients

dc.contributor.author	Zips, Daniel
dc.contributor.author	Böke, Simon
dc.date.accessioned	2024-05-06T08:36:49Z
dc.date.available	2024-05-06T08:36:49Z
dc.date.issued	2023
dc.identifier.issn	2072-6694
dc.identifier.uri	http://hdl.handle.net/10900/153142
dc.language.iso	en	de_DE
dc.publisher	Basel : Mdpi	de_DE
dc.relation.uri	http://dx.doi.org/10.3390/cancers15194897	de_DE
dc.subject.ddc	610	de_DE
dc.title	Multitask Learning with Convolutional Neural Networks and Vision Transformers Can Improve Outcome Prediction for Head and Neck Cancer Patients	de_DE
dc.type	Article	de_DE
utue.quellen.id	20240124000000_01036
utue.personen.roh	Starke, Sebastian
utue.personen.roh	Zwanenburg, Alex
utue.personen.roh	Leger, Karoline
utue.personen.roh	Lohaus, Fabian
utue.personen.roh	Linge, Annett
utue.personen.roh	Kalinauskaite, Goda
utue.personen.roh	Tinhofer, Inge
utue.personen.roh	Guberina, Nika
utue.personen.roh	Guberina, Maja
utue.personen.roh	Balermpas, Panagiotis
utue.personen.roh	von der Gruen, Jens
utue.personen.roh	Ganswindt, Ute
utue.personen.roh	Belka, Claus
utue.personen.roh	Peeken, Jan C.
utue.personen.roh	Combs, Stephanie E.
utue.personen.roh	Boeke, Simon
utue.personen.roh	Zips, Daniel
utue.personen.roh	Richter, Christian
utue.personen.roh	Troost, Esther G. C.
utue.personen.roh	Krause, Mechthild
utue.personen.roh	Baumann, Michael
utue.personen.roh	Loeck, Steffen
dcterms.isPartOf.ZSTitelID	Cancers	de_DE
dcterms.isPartOf.ZS-Issue	Article 4897	de_DE
dcterms.isPartOf.ZS-Volume	15 (19)	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE

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