Detail publikace

Robust Cell Nuclei Tracking Using Gaussian Mixture Shape Model

VIČAR, T.

Originální název

Robust Cell Nuclei Tracking Using Gaussian Mixture Shape Model

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The life cell microscopic imaging is a standard approach for studying of cancer cell morphology and behaviour during some treatment. In the dense cell cultures, tracking each cell nucleus is challenging task due to cell overlap and interactions. Moreover, for time-lapse sequences (lasting typically 20-30 hours) the robust automatic cell tracking is needed. This paper describes new method for fluorescence nuclei tracking based on Gaussian mixture model (GMM), and additionally, GMM modification allowing application to the images is also introduced. Method is mainly designed for robustness - tracking the highest possible number of nuclei in the whole sequence. Proposed algorithm proved to by very reliable with 80% of correctly tracked nuclei.

Klíčová slova

Fluorescence nuclei images, nuclei tracking, Gaussian mixture model

Autoři

VIČAR, T.

Vydáno

26. 4. 2018

Nakladatel

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních

Místo

Brno

ISBN

978-80-214-5614-3

Kniha

Proceedings of the 24th Conference STUDENT EEICT 2018

Číslo edice

první

Strany od

590

Strany do

593

Strany počet

4

URL

http://www.feec.vutbr.cz/EEICT/archiv/sborniky/EEICT_2018_sbornik.pdf

BibTex

@inproceedings{BUT147410,
  author="Tomáš {Vičar}",
  title="Robust Cell Nuclei Tracking Using Gaussian Mixture Shape Model",
  booktitle="Proceedings of the 24th Conference STUDENT EEICT 2018",
  year="2018",
  number="první",
  pages="590--593",
  publisher="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních",
  address="Brno",
  isbn="978-80-214-5614-3",
  url="http://www.feec.vutbr.cz/EEICT/archiv/sborniky/EEICT_2018_sbornik.pdf"
}