The 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

The 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

Purpose: This study aimed to evaluate the predictability of survival in patients with glioblastoma using a machine learning (ML) model developed with tissue analysis features obtained through preoperative post-contrast T1-weighted images(T1WI). Materials and Methods: The radiomic features of tumors...

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Bibliographic Details
Main Authors: Bozkurt Gülek, Berna Bozkurt Duman, Emre Bilgin, Emin Demırel, Okan Dılek
Format: Article
Language:English
Published: Cukurova University 2021-06-01
Series:Cukurova Medical Journal
Subjects:
glioblastoma
machine learning
mri
glioblastom
makine öğrenmesi
texture
mrg
Online Access:https://dergipark.org.tr/tr/download/article-file/1667809

Internet

https://dergipark.org.tr/tr/download/article-file/1667809

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