Assessing Glioblastoma Treatment Response Using Machine Learning Approach Based on Magnetic Resonance Images Radiomics: An Exploratory Study

Assessing Glioblastoma Treatment Response Using Machine Learning Approach Based on Magnetic Resonance Images Radiomics: An Exploratory Study

ABSTRACT Background and Objectives Assessing treatment response in glioblastoma multiforme (GBM) tumors necessitates developing more objective and quantitative approaches. A machine learning‐based approach is presented in this exploratory study for GBM patients' treatment response assessment ba...

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Bibliographic Details
Main Authors: Amirreza Sadeghinasab, Jafar Fatahiasl, Marziyeh Tahmasbi, Sasan Razmjoo, Mohammad Yousefipour
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Health Science Reports
Subjects:
glioblastoma multiforme
machine learning
magnetic resonance imaging
radiomics
treatment response
Online Access:https://doi.org/10.1002/hsr2.70323
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