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

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F12%3APU99325" target="_blank" >RIV/00216305:26220/12:PU99325 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Automatic 3D Segmentation of Human Brain Images Using Data-mining Techniques
Original language description
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 slicesfrom the brain image was 98.08% when compared to human expert results.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 35th International Conference on Telecommunications and Signal Processing - TSP'2012
ISBN
978-1-4673-1118-2
ISSN
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e-ISSN
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Number of pages
3
Pages from-to
578-580
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Prague
Event date
Jul 3, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000308143100112

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