Radiophysiomics: Brain Tumors Classification by Machine Learning and Physiological MRI Data

Radiophysiomics: Brain Tumors Classification by Machine Learning and Physiological MRI Data

The precise initial characterization of contrast-enhancing brain tumors has significant consequences for clinical outcomes. Various novel neuroimaging methods have been developed to increase the specificity of conventional magnetic resonance imaging (cMRI) but also the increased complexity of data a...

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Bibliographic Details
Main Authors: Andreas Stadlbauer, Franz Marhold, Stefan Oberndorfer, Gertraud Heinz, Michael Buchfelder, Thomas M. Kinfe, Anke Meyer-Bäse
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Cancers
Subjects:
brain tumors
pretreatment classification
artificial intelligence
machine learning
physiological MRI
neuro-oncology
Online Access:https://www.mdpi.com/2072-6694/14/10/2363

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