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...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Cukurova University
2021-06-01
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Series: | Cukurova Medical Journal |
Subjects: | |
Online Access: | https://dergipark.org.tr/tr/download/article-file/1667809 |