An semi-Automatic approach for fast statistical data extraction from aortic valve

Aleksandrs Sisojevs, Rihards Starinskis, Peteris Stradiņš

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Interfaces and Human Computer Interaction 2016, Game and Entertainment Technologies 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016
EditorsKatherine Blashki, Yingcai Xiao, Luis Rodrigues
PublisherIADIS
Pages293-297
Number of pages5
ISBN (Electronic)9789898533524
Publication statusPublished - 2016
Event2016 International Conference on Interfaces and Human Computer Interaction, IHCI 2016, Game and Entertainment Technologies, GET 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing, CGVCVIP 2016 - Madeira, Portugal
Duration: 1 Jul 20164 Jul 2016

Publication series

NameProceedings of the International Conference on Interfaces and Human Computer Interaction 2016, Game and Entertainment Technologies 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016

Conference

Conference2016 International Conference on Interfaces and Human Computer Interaction, IHCI 2016, Game and Entertainment Technologies, GET 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing, CGVCVIP 2016
CountryPortugal
CityMadeira
Period1/07/164/07/16

Keywords

  • Aortic valve
  • Calcification
  • Pattern recognition
  • Segmentation.

Field of Science

  • 2.2 Electrical engineering, Electronic engineering, Information engineering
  • 3.2 Clinical medicine

Publication Type

  • 3.3. Publications in conference proceedings indexed in Web of Science and/or Scopus database

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