Comparison of Feature Selection Methods and Machine Learning Classifiers for Radiomics Analysis in Glioma Grading

Radiomics-based researches have shown predictive abilities with machine-learning approaches. However, it is still unknown whether different radiomics strategies affect the prediction performance. The aim of this study was to compare the prediction performance of frequently utilized radiomics feature...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Pan Sun, Defeng Wang, Vincent Ct Mok, Lin Shi
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2019-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Glioma grade machine learning feature classification feature selection radiomics
Online-Zugang:	https://ieeexplore.ieee.org/document/8763934/
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