Publication detail

Segmentation of Hippocampus in MRI Data

KODYM, O. WALEK, P.

Original Title

Segmentation of Hippocampus in MRI Data

English Title

Segmentation of Hippocampus in MRI Data

Type

conference paper

Language

Czech

Original Abstract

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.

English abstract

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.

Keywords

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

Key words in English

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

Authors

KODYM, O.; WALEK, P.

RIV year

2015

Released

23. 4. 2015

Location

Brno

ISBN

978-80-214-5148-3

Book

Proceedings of the 21st Conference STUDENT EEICT 2015

Pages from

71

Pages to

73

Pages count

3

URL

http://www.feec.vutbr.cz/EEICT/

BibTex

@inproceedings{BUT117019,
  author="Oldřich {Kodym} and Petr {Walek}",
  title="Segmentation of Hippocampus in MRI Data",
  booktitle="Proceedings of the 21st Conference STUDENT EEICT 2015",
  year="2015",
  pages="71--73",
  address="Brno",
  isbn="978-80-214-5148-3",
  url="http://www.feec.vutbr.cz/EEICT/"
}