Spatial assessments in texture analysis: what the radiologist needs to know
Bino A. Varghese,
Brandon K. K. Fields,
Darryl H. Hwang
et al.
Abstract:To date, studies investigating radiomics-based predictive models have tended to err on the side of data-driven or exploratory analysis of many thousands of extracted features. In particular, spatial assessments of texture have proven to be especially adept at assessing for features of intratumoral heterogeneity in oncologic imaging, which likewise may correspond with tumor biology and behavior. These spatial assessments can be generally classified as spatial filters, which detect areas of rapid change within t… Show more
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