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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2020
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| Materias: | |
| 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 |