Literature DB >> 10391376

Automatic cell segmentation in cyto- and histometry using dominant contour feature points.

U Pal1, K Rodenacker, B B Chaudhuri.   

Abstract

Automatic cell segmentation has various application potentials in cytometry and histometry. In this paper, an automatic cluster (touching) cell segmentation approach using the dominant contour feature points has been presented. Dominant feature points are the locations of indentation on the contour of the cluster. First, dominant feature points on the contour of the cluster are detected by distance profile. Next, using shape features of the cells, these feature points are selected for segmentation. We compared the results of the proposed method with manual segmentation and observed that the method has an overall accuracy about to 82%.

Mesh:

Year:  1998        PMID: 10391376      PMCID: PMC4612250          DOI: 10.1155/1998/235029

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


  1 in total

1.  Counting touching cell nuclei using fast ellipse detection to assess in vitro cell characteristics: a feasibility study.

Authors:  Dan Dominik Brüllmann; Andreas Pabst; Karl M Lehmann; Thomas Ziebart; Marc O Klein; Bernd d'Hoedt
Journal:  Clin Oral Investig       Date:  2010-10-15       Impact factor: 3.573

  1 in total

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