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Detail publikačního výsledku
UHER, V.; BURGET, R.
Originální název
Automatic 3D Segmentation of Human Brain Images Using Data-mining Techniques
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
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
Klíčová slova
Image processing, 3D segmentation, visualization, CT, brain scan, RapidMiner, open source, data mining
Klíčová slova v angličtině
Autoři
Rok RIV
2013
Vydáno
04.07.2012
ISBN
978-1-4673-1118-2
Kniha
Proceedings of the 35th International Conference on Telecommunications and Signal Processing - TSP'2012
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" }