Detail publikačního výsledku

3D LUNG SEGMENTATION SEGMENTATION USING MARKOV RANDOM FIELDS

CHMELÍK, J.; JAN, J.

Originální název

3D LUNG SEGMENTATION SEGMENTATION USING MARKOV RANDOM FIELDS

Anglický název

3D LUNG SEGMENTATION SEGMENTATION USING MARKOV RANDOM FIELDS

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

In this paper, Bayesian classification with Markov random fields is used for 3D Computed Tomography (3D CT) lung image segmentation and modified metropolis dynamic is employed as optimization algorithm. Lung tissue is well separated from the other tissues like a bones, muscles, surrounding soft tissue and fat. Segmentation is necessary for subsequent lung analysis (size, shape, lung contour, etc.), and lung blood-vessels, airways (bronchi, bronchioles) segmentation and tumour studies.

Anglický abstrakt

In this paper, Bayesian classification with Markov random fields is used for 3D Computed Tomography (3D CT) lung image segmentation and modified metropolis dynamic is employed as optimization algorithm. Lung tissue is well separated from the other tissues like a bones, muscles, surrounding soft tissue and fat. Segmentation is necessary for subsequent lung analysis (size, shape, lung contour, etc.), and lung blood-vessels, airways (bronchi, bronchioles) segmentation and tumour studies.

Klíčová slova

Markov Random Fields, 3D Lung Segmentation, Bayesian Classification

Klíčová slova v angličtině

Markov Random Fields, 3D Lung Segmentation, Bayesian Classification

Autoři

CHMELÍK, J.; JAN, J.

Vydáno

24.04.2014

Nakladatel

LITERA

Místo

Brno

ISBN

978-80-214-4924-4

Kniha

Proceedings of the 20th Conference STUDENT EEICT 2014 Volume 3

Strany od

217

Strany do

221

Strany počet

5

BibTex

@inproceedings{BUT107618,
  author="Jiří {Chmelík} and Jiří {Jan}",
  title="3D LUNG SEGMENTATION SEGMENTATION USING MARKOV RANDOM FIELDS",
  booktitle="Proceedings of the 20th Conference STUDENT EEICT 2014 Volume 3",
  year="2014",
  number="1",
  pages="217--221",
  publisher="LITERA",
  address="Brno",
  isbn="978-80-214-4924-4"
}