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UHER, V.; BURGET, R.
Original Title
Automatic 3D Segmentation of Human Brain Images Using Data-mining Techniques
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
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.
English abstract
Keywords
Image processing, 3D segmentation, visualization, CT, brain scan, RapidMiner, open source, data mining
Key words in English
Authors
RIV year
2013
Released
04.07.2012
ISBN
978-1-4673-1118-2
Book
Proceedings of the 35th International Conference on Telecommunications and Signal Processing - TSP'2012
Edition
1
Pages from
578
Pages to
580
Pages count
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" }