Pattern Recognition in Medical Imaging
Pattern Recognition in Medical Imaging
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Selected Cognitive Categorization Systems
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Expert Systems with Applications: An International Journal
Notes on a Linguistic Description as the Basis for Automatic Image Understanding
International Journal of Applied Mathematics and Computer Science
Basic concepts of knowledge-based image understanding
KES-AMSTA'08 Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications
Automatic segmentation of bone tissue in X-Ray hand images
ICANNGA'09 Proceedings of the 9th international conference on Adaptive and natural computing algorithms
Semantic analysis in cognitive UBIAS & E-UBIAS systems
Computers & Mathematics with Applications
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This paper will present a new approach to the interpretation of complex X-ray images, an approach taking advantage of artificial intelligence and soft computing. The tasks of the analysis and the interpretation of the cognitive meaning of selected medical diagnostic images are made possible owing to the application of graph image languages based on EDG-type grammars. The subject of this paper will be to present the wide range of semantic interpretation possibilities of hand and wrist radiogrammes using language formalisms. The objective of the analysis conducted is to detect pathological lesions of the in-born or of the acquired character as well as bone morphology lesions and bone dislocation as seen in bone defects. The application of graph formalisms, based on EDG languages, allows us to make an effective classification of its meaning with polynomial complexity.