2000
DOI: 10.1002/1097-0320(20001001)41:2<133::aid-cyto8>3.3.co;2-n
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Data representation and reduction for chromatin texture in nuclei from premalignant prostatic, esophageal, and colonic lesions

Abstract: Image analysis and subsequent data reduction of nuclear signatures of contour features is a novel method, providing quantitative information that may lead to an effective identification of nuclei and lesions.

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Cited by 10 publications
(11 citation statements)
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“…In malignancy, there are dramatic changes in chromatin appearance. Promising examples, for the value of nuclear texture feature measurement in the classification and detection of malignancy‐associated changes (MAC) in a variety of human tissues, including prostatic, colonic and oesophageal lesions, have been established [38].…”
Section: Discussionmentioning
confidence: 99%
“…In malignancy, there are dramatic changes in chromatin appearance. Promising examples, for the value of nuclear texture feature measurement in the classification and detection of malignancy‐associated changes (MAC) in a variety of human tissues, including prostatic, colonic and oesophageal lesions, have been established [38].…”
Section: Discussionmentioning
confidence: 99%
“…Alterations in chromatin texture reflect quantitative or qualitative changes in DNA content and structure 755. Digital image analysis provides a variety of measures of chromatin texture, including chromatin intensity, heterogeneity, condensation, margination, run‐length nonuniformity, long‐run emphasis, gray‐level nonuniformity, and inertia.…”
Section: 0 Goalsmentioning
confidence: 99%
“…Weyn et al successfully applied different textural descriptors, including co-occurrence matrix-based and run-length matrix-based parameters, to assess nuclear dysplasia in colonic, esophageal, and prostatic premalignant epithelia lesions (25). Co-occurrence matrix-and run-length matrixbased parameters are good for the characterization of healthy and pathological human cerebral tissues on MRI (13,14).…”
Section: Discussionmentioning
confidence: 99%