Article

Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status

2019-10-02

Abstract excerpt

<h4>Background</h4> Machine learning assisted MRI radiomics, which combines MRI techniques with machine learning methodology, is rapidly gaining attention as a promising method for staging of brain gliomas. This study assesses the diagnostic value of such framework applied to dynamic susceptibility contrast (DSC)-MRI in classifying treatment-naïve gliomas from a multi-center patient pool into WHO grades II-IV and...

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Literature Corpus work: ff9e0f8f-2a0c-5703-bf03-7a788e84f9a9
DOI: 10.1101/19007898

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