Classification of the glioma grading using radiomics analysis
Background Grading of gliomas is critical information related to prognosis and survival. We aimed to apply a radiomics approach using various machine learning classifiers to determine the glioma grading. Methods We considered 285 (high grade n = 210, low grade n = 75) cases obtained from the Brain T...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2018-11-01
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| Series: | PeerJ |
| Subjects: | |
| Online Access: | https://peerj.com/articles/5982.pdf |