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Spatial Bayesian modeling of GLCM with application to malignant lesion characterization

The emerging field of cancer radiomics endeavors to characterize intrinsic patterns of tumor phenotypes and surrogate markers of response by transforming medical images into objects that yield quantifiable summary statistics to which regression and machine learning algorithms may be applied for stat...

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Detalles Bibliográficos
Publicado en:J Appl Stat
Main Authors: Li, Xiao, Guindani, Michele, Ng, Chaan S., Hobbs, Brian P.
Formato: Artigo
Idioma:Inglês
Publicado: 2018
Assuntos:
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC6706247/
https://ncbi.nlm.nih.gov/pubmed/31439980
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/02664763.2018.1473348
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