Share Email Print

Proceedings Paper

Image processing using artificial intelligence methods in cardiovascular decision support systems
Author(s): N. S. Konnova; M. A. Basarab; D. A. Basarab
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The development of medical decision support systems is an important social and economically significant task, and one of the most important and acute directions in this field of research is cardiology supporting decision-making systems. The report considers the main requirements for the recognition system based on artificial intelligence methods and used to assess the functional state of the cardiovascular system (CVS). The description of the general scheme of the developed decision support system based on the identification and classification of CVS states is given. As various types of neural networks and other classifiers based on machine learning are often used in problems of the cardiovascular states identification, here, the main attention is paid to the use of convolutional and other deep neural networks for the recognition of images in cardiology for diagnostic purposes.

Paper Details

Date Published: 29 October 2018
PDF: 5 pages
Proc. SPIE 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence, 108361U (29 October 2018); doi: 10.1117/12.2515343
Show Author Affiliations
N. S. Konnova, Bauman Moscow State Technical Univ. (Russian Federation)
M. A. Basarab, Bauman Moscow State Technical Univ. (Russian Federation)
D. A. Basarab, St. Ioasaf's Belgorod Regional Hospital (Russian Federation)

Published in SPIE Proceedings Vol. 10836:
2018 International Conference on Image and Video Processing, and Artificial Intelligence
Ruidan Su, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?