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Publikācija: An Semi-Automatic Approach for Fast Statistical Data Extraction from Aortic Valve

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Nosaukums oriģinālvalodā An Semi-Automatic Approach for Fast Statistical Data Extraction from Aortic Valve
Pētniecības nozare 1. Dabaszinātnes
Pētniecības apakšnozare 1.2. Datorzinātne un informātika
Autori Aleksandrs Sisojevs
Rihards Starinskis
Peteris Stradiņš
Atslēgas vārdi Aortic valve, calcification, pattern recognition, segmentation.
Anotācija The statistical data of aortic valve is very important input information for medical diagnostics and anatomical pathology research. The approach for this data extraction is photo survey of aortic valve and next image processing. In this paper the authors have implemented different methods of pattern recognition for extracting the statistical data from photographic images. The modification of “k-Nearest Neighbors” method was proposed. The experimental results show the efficiency of the selected methods and proposed modification.
Atsauce Sisojevs, A., Starinskis, R., Stradiņš, P. An Semi-Automatic Approach for Fast Statistical Data Extraction from Aortic Valve. No: Multi Conference on Computer Science and Information Systems, Computer Graphics, Visualization, Computer Vision and Image Processing (IADIS): Proceedings, Portugāle, Funchal, 2.-4. jūlijs, 2016. Lisbon: IADIS Press, 2016, 293.-297.lpp. ISBN 978-989-8533-52-4.
ID 23845