2019
DOI: 10.1002/cyto.b.21856
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Issue Highlights – November 2019

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Cited by 2 publications
(2 citation statements)
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References 21 publications
(30 reference statements)
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“…They explore the diagnostic utility of three shape‐specific parameters for branching classification of glands; the chord intersection ratio, convexity ratio, and maximum concave area ratio. This is a developing field that has seen an increasing number of geometric and spatial imaging methods offering new approaches for pattern‐based analysis (29‐31). This and other similar approaches promises to integrate traditional pathology with the quantitative digital analysis and interpretation (29).…”
mentioning
confidence: 99%
“…They explore the diagnostic utility of three shape‐specific parameters for branching classification of glands; the chord intersection ratio, convexity ratio, and maximum concave area ratio. This is a developing field that has seen an increasing number of geometric and spatial imaging methods offering new approaches for pattern‐based analysis (29‐31). This and other similar approaches promises to integrate traditional pathology with the quantitative digital analysis and interpretation (29).…”
mentioning
confidence: 99%
“…In the field of digital pathology, image analysis initially tended to focus on gradient-based studies, such as chromatin patterns in cytology, while shape-based, spatially related geometric analysis was much less common in clinical imagery. Recently, an increased number of geometric and spatial imaging methods have emerged, offering new possibilities for pattern-based analysis (Al-Janabi, Huisman, & Van Diest, 2012;Figueiredo et al, 2018;Gurcan et al, 2009;Mandy, 2019;Munsterman et al, 2019). In this study, we focus on the histological pattern of branching glands in colonic tubular adenoma and attempt to convert the branching patterns into quantitative data using computerized image analysis based on computational geometry properties such as the convex hull, convexity, and chord intersection.…”
mentioning
confidence: 99%