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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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| Publicado no: | J Appl Stat |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | 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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