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Publikācija: An Approach for Statistical Data Extraction from Photo Images of Pathological Biopsy Objects

Publication Type Publications in RTU scientific journal
Funding for basic activity Unknown
Defending: ,
Publication language English (en)
Title in original language An Approach for Statistical Data Extraction from Photo Images of Pathological Biopsy Objects
Field of research 1. Natural sciences
Sub-field of research 1.2 Computer and information sciences
Authors Aleksandrs Sisojevs
Katrina Boločko
Rihards Starinskis
Keywords Aortic valve, pattern recognition, segmentation, statistical data
Abstract The task of statistical data extraction from photo images of biomedical objects is important in biomedical diagnostics. For example, the analysis of photographic images of aortic valve taken after surgical operation can be used for further medical research. In this case, it is important to define the percentile correlation between the pathological and the macroscopically unchanged tissue. In this work, authors implement different methods for extracting the statistical data from images. The experimental results show the efficiency of the selected methods.
DOI: 10.7250/tcc.2014.001
Reference Sisojevs, A., Boločko, K., Starinskis, R. An Approach for Statistical Data Extraction from Photo Images of Pathological Biopsy Objects. Technologies of Computer Control. Vol.15, 2014, pp.5-13. ISSN 2256-0343. e-ISSN 2256-0351. Available from: doi:10.7250/tcc.2014.001
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ID 19937