Image understanding methods in biomedical informatics and digital imaging

Authors:
Marek R. Ogiela;Ryszard Tadeusiewicz
Affiliations:
Instiute of Automatics, University of Mining and Metallurgy, al. Mickiewicza 30, PL-30-059, Kraków, Poland;Instiute of Automatics, University of Mining and Metallurgy, al. Mickiewicza 30, PL-30-059, Kraków, Poland
Venue:
Computers and Biomedical Research
Year:
2001

Citing 1
Cited 3

Compiler Construction

Compiler Construction

Notes on a Linguistic Description as the Basis for Automatic Image Understanding

International Journal of Applied Mathematics and Computer Science
Artificial intelligence techniques in retrieval of visual data semantic information

AWIC'03 Proceedings of the 1st international Atlantic web intelligence conference on Advances in web intelligence
Intelligent information system for interpretation of dynamic perfusion brain maps

ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part I

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper will present new possibilities for the application of image recognition methods and AI application in biomedical informatics as well as semantically oriented analysis of 2D images of coronary arteries originating from coronography examinations. In particular this paper presents the possibilities for computer analysis and recognition of local stenoses of the lumen of coronary arteries via the application of syntactic methods of pattern recognition. Such stenoses are the result of the appearance of arteriosclerosis plaques, which in consequence lead to different forms of ischemic cardiovascular diseases. Such diseases may be seen in the form of stable or unstable disturbances of heart rhythm or infarction. Analysis of the correct morphology of these artery lumina is made possible with the application of syntactic analysis and pattern recognition methods, in particular with the attribute, context-free grammar of look-ahead LR(1) type.