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Texture analysis of tumor in lung CT data

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eeict2015-140-salplachta.pdf (664.6Kb)
Date
2015
Author
Šalplachta, J.
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Abstract
The aim of this work is the revelation of the possibility of the use of texture analysis methods to detection and segmentation tumor tissue in patient’s lungs and classification viable areas of tumor tissue. The main assumption includes the possibility that there are differences of textural properties between tumor and surrounding tissues and changes of these features during development and treatment of this disease. The work deals with the creation of vector of texture features which is composed of some methods of texture analysis and then processed by methods of cluster analysis in programming environment Matlab®.
Keywords
texture analysis, microtextural methods, statistical methods, cluster analysis
Persistent identifier
http://hdl.handle.net/11012/42956
Document type
Peer reviewed
Document version
Final PDF
Source
Proceedings of the 21st Conference STUDENT EEICT 2015. s. 140-142. ISBN 978-80-214-5148-3
http://www.feec.vutbr.cz/EEICT/
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  • Student EEICT 2015 [169]
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