Separation enhanced nucleus detection on propidium iodide stained digital slides

V. Z. Jonas, M. Kozlovszky, B. Molnar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Cancer research and diagnostics is an important frontier to apply the power of computers. Image processing gains more and more territory in pathology, our current study aims to apply image cytometry to this area. One of the most fundamental methods is ploidy analysis that aims to measure the pace of proliferation in the tissue. This is proven to be a good marker of tumor presence and aggressivity. Ploidy analysis traditionally is a flow cytometry area. The samples used in our study are the same as those used in a flow cytometer: a droplet of the suspension containing stained nuclei caught on a glass slide, covered and scanned. This article aims to show our progress in nucleus detection on digitized samples of propidium iodide stained cell nuclei suspensions. A previous article covered the assay method constructed and the initial segmentation technique used for nuclei detection, and identified its shortcomings based on the results. This paper presents a step forward in segmentation accuracy in our project.

Original languageEnglish
Title of host publicationINES 2014 - IEEE 18th International Conference on Intelligent Engineering Systems, Proceedings
EditorsAniko Szakal
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages157-161
Number of pages5
ISBN (Electronic)9781479946150
DOIs
Publication statusPublished - Sep 24 2014
Event18th IEEE International Conference on Intelligent Engineering Systems, INES 2014 - Tihany, Hungary
Duration: Jul 3 2014Jul 5 2014

Publication series

NameINES 2014 - IEEE 18th International Conference on Intelligent Engineering Systems, Proceedings

Other

Other18th IEEE International Conference on Intelligent Engineering Systems, INES 2014
CountryHungary
CityTihany
Period7/3/147/5/14

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Applied Mathematics
  • Theoretical Computer Science

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  • Cite this

    Jonas, V. Z., Kozlovszky, M., & Molnar, B. (2014). Separation enhanced nucleus detection on propidium iodide stained digital slides. In A. Szakal (Ed.), INES 2014 - IEEE 18th International Conference on Intelligent Engineering Systems, Proceedings (pp. 157-161). [6909360] (INES 2014 - IEEE 18th International Conference on Intelligent Engineering Systems, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INES.2014.6909360