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

Multi Conference on Computer Science and Information Systems, Computer Graphics, Visualization, Computer Vision and Image Processing (IADIS): Proceedings 2016
Aleksandrs Sisojevs, Rihards Starinskis, Peteris Stradiņš

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.

Atslēgas vārdi
Aortic valve, calcification, pattern recognition, segmentation.

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.

Publikācijas valoda
English (en)