Biomedical Image Analysis using Self-Organizing Maps

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F12%3A43893441" target="_blank" >RIV/60461373:22340/12:43893441 - 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
Biomedical Image Analysis using Self-Organizing Maps
Original language description
The implementation of self organizing map (SOM) and its application to the analysis of biomedical images are presented. The SOM algorithm was implemented in MATLAB program suite with various optional parameters enabling the adjustment of the model according to the user's requirements. For easier application of SOM the graphical user interface has been developed. The segmentation and edge detection procedures are critical steps in the analysis of biomedical images, enabling for instance the detection ofthe abnormal structure or the recognition of di erent types of tissue. The self-organizing map provides a quick and easy approach for these tasks with satisfying quality of outputs, which has been verified using the high-resolution CT images capturing the expressions of the Granulo matosis with polyangiitis (GPA) disease.
Czech name
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Czech description
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Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
20th Annual Conference Proceedings Technical Computing Bratislava 2012
ISBN
978-80-970519-4-5
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
"028/1"-"028/8"
Publisher name
RT Systems
Place of publication
Bratislava
Event location
Bratislava
Event date
Nov 7, 2012
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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