Machine-Learning-Based Radiomics for Classifying Glioma Grade from Magnetic Resonance Images of the Brain

Machine-Learning-Based Radiomics for Classifying Glioma Grade from Magnetic Resonance Images of the Brain

Grading of gliomas is a piece of critical information related to prognosis and survival. Classifying glioma grade by semantic radiological features is subjective, requires multiple MRI sequences, is quite complex and clinically demanding, and can very often result in erroneous radiological diagnosis...

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Bibliographic Details
Main Authors: Anuj Kumar, Ashish Kumar Jha, Jai Prakash Agarwal, Manender Yadav, Suvarna Badhe, Ayushi Sahay, Sridhar Epari, Arpita Sahu, Kajari Bhattacharya, Abhishek Chatterjee, Balaji Ganeshan, Venkatesh Rangarajan, Aliasgar Moyiadi, Tejpal Gupta, Jayant S. Goda
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Journal of Personalized Medicine
Subjects:
glioma grade
radiomics
machine learning
classifiers
Online Access:https://www.mdpi.com/2075-4426/13/6/920

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https://www.mdpi.com/2075-4426/13/6/920

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