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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6252243/ https://www.ncbi.nlm.nih.gov/pubmed/30498643 http://dx.doi.org/10.7717/peerj.5982 |