Detail publikace

Segmentation of Hippocampus in MRI Data

KODYM, O. WALEK, P.

Originální název

Segmentation of Hippocampus in MRI Data

Český název

Segmentation of Hippocampus in MRI Data

Anglický název

Segmentation of Hippocampus in MRI Data

Typ

článek ve sborníku

Jazyk

cs

Originální abstrakt

This project deals with application of graph-based methods in segmentation of low contrast image data, specifically hippocampus in MRI data. Using graph cuts for the segmentation allows the software to utilize high accuracy, robustness and an ability to interact with the user.

Český abstrakt

This project deals with application of graph-based methods in segmentation of low contrast image data, specifically hippocampus in MRI data. Using graph cuts for the segmentation allows the software to utilize high accuracy, robustness and an ability to interact with the user.

Anglický abstrakt

This project deals with application of graph-based methods in segmentation of low contrast image data, specifically hippocampus in MRI data. Using graph cuts for the segmentation allows the software to utilize high accuracy, robustness and an ability to interact with the user.

Klíčová slova

Graph theory, Graph cut, Min-cut/Max-flow theorem, Hippocampus segmentation

Rok RIV

2015

Vydáno

23.04.2015

Místo

Brno

ISBN

978-80-214-5148-3

Kniha

Proceedings of the 21st Conference STUDENT EEICT 2015

Strany od

71

Strany do

73

Strany počet

3

URL

BibTex


@inproceedings{BUT117019,
  author="Oldřich {Kodym} and Petr {Walek}",
  title="Segmentation of Hippocampus in MRI Data",
  annote="This project deals with application of graph-based methods in segmentation of low contrast
image data, specifically hippocampus in MRI data. Using graph cuts for the segmentation allows the
software to utilize high accuracy, robustness and an ability to interact with the user.",
  booktitle="Proceedings of the 21st Conference STUDENT EEICT 2015",
  chapter="117019",
  howpublished="print",
  year="2015",
  month="april",
  pages="71--73",
  type="conference paper"
}