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...

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Detalles Bibliográficos
Autores principales: Cho, Hwan-ho, Lee, Seung-hak, Kim, Jonghoon, Park, Hyunjin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2018
Materias:
Radiology and Medical Imaging
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

Internet

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

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