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

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...

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Bibliographic Details
Main Authors: Pan Sun, Defeng Wang, Vincent Ct Mok, Lin Shi
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Glioma grade
machine learning
feature classification
feature selection
radiomics
Online Access:https://ieeexplore.ieee.org/document/8763934/

Internet

https://ieeexplore.ieee.org/document/8763934/

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