Deep learning classifier for MGMT promoter methylation status in glioblastoma cancer
2022
Détails
Titre
Deep learning classifier for MGMT promoter methylation status in glioblastoma cancer
Auteur(s)/ trice(s)
Barranco Garcia, Javier (USZ, Radio Oncology Clinic, Zurich, Switzerland)
Abler, Daniel (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis))
Reyes, Mauricio (University of Bern, ARTORG Center for Biomedical Research, Bern, Switzerland)
Voung, Diem (USZ, Radio Oncology Clinic, Zurich, Switzerland)
Guckenberger, Matthias (USZ, Radio Oncology Clinic , Zurich, Switzerland)
Tanadini-Lang, Stéphanie (USZ, Radio Oncology Clinic , Zurich, Switzerland)
Depeursinge, Adrien (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis))
Abler, Daniel (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis))
Reyes, Mauricio (University of Bern, ARTORG Center for Biomedical Research, Bern, Switzerland)
Voung, Diem (USZ, Radio Oncology Clinic, Zurich, Switzerland)
Guckenberger, Matthias (USZ, Radio Oncology Clinic , Zurich, Switzerland)
Tanadini-Lang, Stéphanie (USZ, Radio Oncology Clinic , Zurich, Switzerland)
Depeursinge, Adrien (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis))
Date
2022-05
Publié dans
Radiotherapy Oncology
Volume
2022, Vol. 170, suppl. 1, pp. S1570-S1571
Publié par
Amsterdam, Elsevier
Pagination
1 p.
Présenté à
ESTRO 2022 (European SocieTy for Radiotherapy and Oncology), Copenhagen, Denmark, 2022-05-06, 2022-05-10
ISSN
0167-8140
Type de papier
extended abstract
Domaine
Economie et Services
Ecole
HEG-VS
Institut
Institut Informatique de gestion
Le document apparaît dans
Documents de conférences
Global
Global
Ressource(s) externe(s)
Online version