Detail publikace

Segmentace medicínských obrazů s využitím grafové reprezentace

KOZLOVÁ, D. JAKUBÍČEK, R.

Originální název

Segmentace medicínských obrazů s využitím grafové reprezentace

Český název

Segmentace medicínských obrazů s využitím grafové reprezentace

Anglický název

MEDICAL IMAGE SEGMENTATION BASED ON GRAPH CUT WITH SHAPE PRIOR

Typ

článek ve sborníku

Jazyk

cs

Originální abstrakt

This paper deals with a graph-based image segmentation and its improvement by using the information about the shape of the object for creating specific graph architecture (template). Improved method allows the cut to prefer more complicated structures, especially when the image contains a lot of noise and the object is hardly indistinguishable from the background. Algorithm was tested on simulated data and real CT and MRI images of vertebra and brain in 2D. Method was also extended to 3D further purposes.

Český abstrakt

This paper deals with a graph-based image segmentation and its improvement by using the information about the shape of the object for creating specific graph architecture (template). Improved method allows the cut to prefer more complicated structures, especially when the image contains a lot of noise and the object is hardly indistinguishable from the background. Algorithm was tested on simulated data and real CT and MRI images of vertebra and brain in 2D. Method was also extended to 3D further purposes.

Anglický abstrakt

This paper deals with a graph-based image segmentation and its improvement by using the information about the shape of the object for creating specific graph architecture (template). Improved method allows the cut that prefer more complicated structures, especially when the image contains a lot of noise and the object is hardly indistinguishable from the background. Algorithm was tested on simulated data and real CT and MRI images of vertebra and brain in 2D. The method was also extended it 3D further purposes.

Klíčová slova

Medical image segmentation, Graph theory, Graph cut, Template

Vydáno

28.04.2016

Nakladatel

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních

Místo

Brno

ISBN

978-80-214-5350-0

Kniha

Proceedings of the 21st Conference STUDENT EEICT 2015

Edice

1

Číslo edice

1

Strany od

50

Strany do

52

Strany počet

3

URL

BibTex


@inproceedings{BUT125420,
  author="Dominika {Kozlová} and Roman {Jakubíček}",
  title="Segmentace medicínských obrazů s využitím grafové reprezentace",
  annote="This paper deals with a graph-based image segmentation and its improvement by using
the information about the shape of the object for creating specific graph architecture (template).
Improved method allows the cut to prefer more complicated structures, especially when the image
contains a lot of noise and the object is hardly indistinguishable from the background. Algorithm
was tested on simulated data and real CT and MRI images of vertebra and brain in 2D. Method was
also extended to 3D further purposes.",
  address="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních",
  booktitle="Proceedings of the 21st Conference STUDENT EEICT 2015",
  chapter="125420",
  edition="1",
  howpublished="online",
  institution="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních",
  year="2016",
  month="april",
  pages="50--52",
  publisher="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních",
  type="conference paper"
}