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Multivariate discriminant analysis for branching classification of colonic tubular adenoma glands.
Cytometry Part B: Clinical Cytometry ( IF 2.3 ) Pub Date : 2020-02-06 , DOI: 10.1002/cyto.b.21871
Hyekyung Lee 1 , Jong O Kim 2 , Jaesool Shim 3 , Migyung Cho 4
Affiliation  

Many morphologic findings of histology can be translated into mathematically computerized data, and identifying important parameters is primarily pathologists' task as users. Shape‐specific parameters based on computational geometry properties of glands can be used in the field of pathology. We evaluated the diagnostic utility of three shape‐specific parameters: the chord intersection ratio, convexity ratio, and maximum concave area ratio for branching classification of glands.

中文翻译:

结肠管状腺瘤腺体分支分类的多变量判别分析。

组织学的许多形态学发现可以转化为数学计算机化数据,识别重要参数主要是病理学家作为用户的任务。基于腺体计算几何特性的特定形状参数可用于病理学领域。我们评估了三个特定形状参数的诊断效用:弦交叉比、凸度比和最大凹面积比,用于腺体的分支分类。
更新日期:2020-02-06
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