Detail publikace

Automatic 3D Segmentation of Human Brain Images Using Data-mining Techniques

UHER, V. BURGET, R.

Originální název

Automatic 3D Segmentation of Human Brain Images Using Data-mining Techniques

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper proposes a method for automatic 3D segmentation of human brain CT scans using data mining techniques. The brain scans are processed in 2D and 3D. The proposed method has several steps – image pre-processing, segmentation, feature extraction from segments, data mining, and post-processing. The method introduced is implemented in 3D image processing extension for the RapidMiner platform, and both are provided as open source. With testing data the resultant performance selection of tissue slices from the brain image was 98.08% when compared to human expert results.

Klíčová slova

Image processing, 3D segmentation, visualization, CT, brain scan, RapidMiner, open source, data mining

Autoři

UHER, V.; BURGET, R.

Rok RIV

2012

Vydáno

4. 7. 2012

ISBN

978-1-4673-1118-2

Kniha

Proceedings of the 35th International Conference on Telecommunications and Signal Processing - TSP'2012

Edice

1

Číslo edice

1

Strany od

578

Strany do

580

Strany počet

3

BibTex

@inproceedings{BUT93237,
  author="Václav {Uher} and Radim {Burget}",
  title="Automatic 3D Segmentation of Human Brain Images Using Data-mining Techniques",
  booktitle="Proceedings of the 35th International Conference on Telecommunications and Signal Processing - TSP'2012",
  year="2012",
  series="1",
  number="1",
  pages="578--580",
  isbn="978-1-4673-1118-2"
}