Open AccessThe success of machine learning algorithms developed with radiomic features obtained from preoperative contrast-enhanced MRI in the prediction of short-term survival in patients with glioblastoma
Author(s) -
Talih Özdaş,
Emin Demirel,
Emre Bılgın,
Berna Bozkurt Duman,
Bozkurt Gülek
Publication year - 2021
Publication title -
çukurova medical journal (online)/çukurova medical journal
Language(s) - English
Resource type - Journals
eISSN - 2602-3032
pISSN - 2602-3040
DOI - 10.17826/cumj.904688
Subject(s) - glioblastoma , linear discriminant analysis , random forest , medicine , contrast (vision) , artificial intelligence , machine learning , survival analysis , artificial neural network , support vector machine , algorithm , radiomics , computer science , cancer research