A simple model for glioma grading based on texture analysis applied to conventional brain MRI

Accuracy of glioma grading is fundamental for the diagnosis, treatment planning and prognosis of patients. The purpose of this work was to develop a low-cost and easy-to-implement classification model which distinguishes low-grade gliomas (LGGs) from high-grade gliomas (HGGs), through texture analys...

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Detalles Bibliográficos
Autores principales: Suárez-García, José Gerardo, Hernández-López, Javier Miguel, Moreno-Barbosa, Eduardo, de Celis-Alonso, Benito
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7228074/
https://www.ncbi.nlm.nih.gov/pubmed/32413034
http://dx.doi.org/10.1371/journal.pone.0228972

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7228074/
https://www.ncbi.nlm.nih.gov/pubmed/32413034
http://dx.doi.org/10.1371/journal.pone.0228972

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