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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 1 of 1 1 Cancer diagnosis by nuclear morphometry using spatial information (.) ... Huang, Hu; Tosun, Akif Burak; Guo, Jia; Chen, Cheng; Wang, Wei; Ozolek, John A.; Rohde, Gustavo. - : Figshare, 2018 Abstract: Methods for extracting quantitative information regarding nuclear morphology from histopathology images have been long used to aid pathologists in determining the degree of differentiation in numerous malignancies. Most methods currently in use, however, employ the naïve Bayes approach to classify a set of nuclear measurements extracted from one patient. Hence, the statistical dependency between the samples (nuclear measurements) is often not directly taken into account. Here we describe a method that makes use of statistical dependency between samples in thyroid tissue to improve patient classification accuracies with respect to standard naïve Bayes approaches. We report results in two sample diagnostic challenges. ... Keyword: 90399 Biomedical Engineering not elsewhere classified; FOS Medical engineering URL: https://figshare.com/articles/Cancer_diagnosis_by_nuclear_morphometry_using_spatial_information_/6096311/1 https://dx.doi.org/10.1184/r1/6096311.v1 BASE Hide details

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