Authors:
Marek R. Ogiela
1
;
Ryszard Tadeusiewicz
1
and
Lidia Ogiela
2
Affiliations:
1
AGH University of Science and Technology, Institute of Automatics, Poland
;
2
AGH University of Science and Technology, Poland
Keyword(s):
Intelligent systems, image understanding, pattern classification, medical imaging, artificial intelligence
Related
Ontology
Subjects/Areas/Topics:
Applications of Expert Systems
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Biomedical Engineering
;
Business Analytics
;
Data Engineering
;
Data Mining
;
Databases and Information Systems Integration
;
Datamining
;
Enterprise Information Systems
;
Health Information Systems
;
Sensor Networks
;
Signal Processing
;
Soft Computing
;
Strategic Decision Support Systems
;
Verification and Validation of Knowledge-Based Systems
Abstract:
This paper presents new approach in application of picture languages for cognitive analysis and reasoning of selected medical visualization. It will be shown new opportunities for applying these methods to undertake tasks of the automatic understanding of image semantics in intelligent medical information or computer-aided diagnosis systems. These systems are applied in various tasks supporting decisions taken in the wide area of health care and medical imaging. The possibility of obtaining the information about semantic content of the medical images may contribute considerably to the creation of new intelligent cognitive medical systems. This article shows that structural techniques of artificial intelligence may be applied in the case of tasks related to automatic classification and machine perception of semantic pattern content in order to determine the medical meaning of the images. In the paper, we describe some examples presenting ways of applying such techniques in the creatio
n of cognitive vision systems for selected classes of medical images.
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