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; Kalinauskaite, Goda; Tinhofer, Inge; Guberina, Nika; Guberina, Maja; Balermpas, Panagiotis; von der Gruen, Jens; Ganswindt, Ute; Belka, Claus; Peeken, Jan C.; Combs, Stephanie E.; Boeke, Simon; Zips, Daniel; Richter, Christian; Troost, Esther G. C.; Krause, Mechthild; Baumann, Michael; Loeck, Steffen

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

Autor(en):

Starke, Sebastian; Zwanenburg, Alex; Leger, Karoline; Lohaus, Fabian; Linge, Annett; Kalinauskaite, Goda; Tinhofer, Inge; Guberina, Nika; Guberina, Maja; Balermpas, Panagiotis; von der Gruen, Jens; Ganswindt, Ute; Belka, Claus; Peeken, Jan C.; Combs, Stephanie E.; Boeke, Simon; Zips, Daniel; Richter, Christian; Troost, Esther G. C.; Krause, Mechthild; Baumann, Michael; Loeck, Steffen

Tübinger Autor(en):

Zips, Daniel
Böke, Simon

Erschienen in:

Cancers (2023), Bd. 15 (19), Article 4897

Verlagsangabe:

Basel : Mdpi

Sprache:

Englisch

Referenz zum Volltext:

http://dx.doi.org/10.3390/cancers15194897

ISSN:

2072-6694