High-Throughput Quantification of Phenotype Heterogeneity Using Statistical Features

Statistical features are widely used in radiology for tumor heterogeneity assessment using magnetic resonance (MR) imaging technique. In this paper, feature selection based on decision tree is examined to determine the relevant subset of glioblastoma (GBM) phenotypes in the statistical domain. To di...

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Detalles Bibliográficos
Autores principales: Chaddad, Ahmad, Tanougast, Camel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4660016/
https://www.ncbi.nlm.nih.gov/pubmed/26640485
http://dx.doi.org/10.1155/2015/728164

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4660016/
https://www.ncbi.nlm.nih.gov/pubmed/26640485
http://dx.doi.org/10.1155/2015/728164

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