A Bayesian 2D functional linear model for gray-level co-occurrence matrices in texture analysis of lower grade gliomas

In cancer radiomics, textural features evaluated from image intensity-derived gray-level co-occurrence matrices (GLCMs) have been studied to evaluate gray-level spatial dependence within the regions of interest in the brain. Most of these analysis work with summary statistics (or texture-based featu...

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Detalles Bibliográficos
Autores principales: Chekouo, Thierry, Mohammed, Shariq, Rao, Arvind
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7554657/
https://www.ncbi.nlm.nih.gov/pubmed/33035963
http://dx.doi.org/10.1016/j.nicl.2020.102437

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7554657/
https://www.ncbi.nlm.nih.gov/pubmed/33035963
http://dx.doi.org/10.1016/j.nicl.2020.102437

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