Literature DB >> 364907

Computer discriminant analysis of atypical urothelial cells.

L G Koss, P H Bartels, J J Sychra, G L Wied.   

Abstract

Prior computer studies of digitized cell images by the TICAS system have shown that the category of urothelial cells classified visually as atypical may be composed of 2 subgroups, one clustering mainly with benign cells and the other with malignant cells. As a consequence, a visual review of the group of atypical cells was conducted and tested by computer discriminant analysis. The computer classification confirmed the visual reclassification and subdivision of atypical urothelial cells into 2 subgroups, ATY I and ATY II. This is yet another example of feedback from computer diagnosis to visual assessment of cells. The significance of these observations in terms of diagnosis will be the subject of subsequent communications.

Mesh:

Year:  1978        PMID: 364907

Source DB:  PubMed          Journal:  Acta Cytol        ISSN: 0001-5547            Impact factor:   2.319


  3 in total

1.  Discriminant analysis on cells from developing squamous cancer of the respiratory tract.

Authors:  G L Wied; P H Bartels; M Bibbo; M Chen; F R Reale; H Schreiber; J J Sychra
Journal:  Cell Biophys       Date:  1979-03

Review 2.  Medical diagnostic decision support systems--past, present, and future: a threaded bibliography and brief commentary.

Authors:  R A Miller
Journal:  J Am Med Inform Assoc       Date:  1994 Jan-Feb       Impact factor: 4.497

3.  A multivariate approach to laboratory practice.

Authors:  J R Beck
Journal:  J Med Syst       Date:  1980       Impact factor: 4.460

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.