Deep learning classifier for MGMT promoter methylation status in glioblastoma cancer
2022
Einzelheiten
Titel
Deep learning classifier for MGMT promoter methylation status in glioblastoma cancer
Autor(en)/ in(nen)
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))
Datum
2022-05
Veröffentlich in
Radiotherapy Oncology
Band
2022, Vol. 170, suppl. 1, pp. S1570-S1571
Verlag
Amsterdam, Elsevier
Umfang
1 p.
Vorgestellt auf
ESTRO 2022 (European SocieTy for Radiotherapy and Oncology), Copenhagen, Denmark, 2022-05-06, 2022-05-10
ISSN
0167-8140
Papiertyp
extended abstract
Domaine
Economie et Services
Ecole
HEG-VS
Institut
Institut Informatique de gestion
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