Literature DB >> 2275863

Entropy as an algorithm for the statistical description of DNA cytometric data obtained by image analysis microscopy.

B Stenkvist1, G Strande.   

Abstract

In an effort to obtain an additional statistical descriptor of DNA histograms we analysed a concept from mathematical information theory, called entropy, which describes the information content of histograms irrespective of parametric or non-parametric distributions. For this study, 32 fine-needle biopsies were analysed. It seems that the entropy of the DNA histogram is an extremely useful descriptor for the separation of distributions obtained from malignant tumours when compared with non-malignant lesions or normal controls.

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Year:  1990        PMID: 2275863

Source DB:  PubMed          Journal:  Anal Cell Pathol        ISSN: 0921-8912            Impact factor:   2.916


  4 in total

1.  Studies for estimating the biologic behavior and prognosis of paragangliomas in the head and neck.

Authors:  H J Welkoborsky; Y Xiao; W J Mann; R G Amedee; H P Dienes; B Volk
Journal:  Skull Base Surg       Date:  1995

2.  Analysis of DNA and morphometry in breast carcinoma.

Authors:  M Aubele; G Auer; H Höfler
Journal:  Histochem Cell Biol       Date:  1996-08       Impact factor: 4.304

3.  Improved prognostication in small (pT1) breast cancers by image cytometry.

Authors:  M Aubele; G Auer; U Falkmer; A Voss; K Rodenacker; L E Rutquist; H Höfler
Journal:  Breast Cancer Res Treat       Date:  1995       Impact factor: 4.872

Review 4.  [Protein-carbohydrate recognition. Foundation and medical application with illustrations of tumor lectin studies].

Authors:  H J Gabius; K Kayser; S Gabius
Journal:  Naturwissenschaften       Date:  1995-12
  4 in total

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