Extraction and tracking living cells in medical images

O. Nedzvedz, S. Ablameyko, Seiichi Uchida

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

Abstract

One of the important problems of cytological image analysis is the cell segmentation. Today the most perspective direction of cytological image analysis is living cells investigation. Such images lead to many troubles for cell analysis. In this paper, we propose a solution of one such problems: pattern extraction of living cells from its aggregation and measurement of their 3D characteristics.

Original languageEnglish
Title of host publicationIDT 2016 - Proceedings of the International Conference on Information and Digital Technologies 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages198-202
Number of pages5
ISBN (Electronic)9781467388603
DOIs
Publication statusPublished - Aug 31 2016
Event2016 International Conference on Information and Digital Technologies, IDT 2016 - Rzeszow, Poland
Duration: Jul 5 2016Jul 7 2016

Publication series

NameIDT 2016 - Proceedings of the International Conference on Information and Digital Technologies 2016

Other

Other2016 International Conference on Information and Digital Technologies, IDT 2016
CountryPoland
CityRzeszow
Period7/5/167/7/16

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing

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  • Cite this

    Nedzvedz, O., Ablameyko, S., & Uchida, S. (2016). Extraction and tracking living cells in medical images. In IDT 2016 - Proceedings of the International Conference on Information and Digital Technologies 2016 (pp. 198-202). [7557173] (IDT 2016 - Proceedings of the International Conference on Information and Digital Technologies 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DT.2016.7557173