Detail publikace

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

Originální název

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

Anglický název

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

Jazyk

en

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.

Anglický 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.

BibTex


@inproceedings{BUT93237,
  author="Václav {Uher} and Radim {Burget}",
  title="Automatic 3D Segmentation of Human Brain Images Using Data-mining Techniques",
  annote="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.",
  booktitle="Proceedings of the 35th International Conference on Telecommunications and Signal Processing - TSP'2012",
  chapter="93237",
  edition="1",
  howpublished="online",
  year="2012",
  month="july",
  pages="578--580",
  type="conference paper"
}