Foundations of Image Understanding
Foundations of Image Understanding
Pattern Recognition in Medical Imaging
Pattern Recognition in Medical Imaging
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Perceptual user interfaces using vision-based eye tracking
Proceedings of the 5th international conference on Multimodal interfaces
A stochastic grammar of images
Foundations and Trends® in Computer Graphics and Vision
Cognitive Systems for Medical Pattern Understanding and Diagnosis
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part I
A Hybrid System for the Semantic Annotation of Sulco-Gyral Anatomy in MRI Images
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Bottom-Up/Top-Down Image Parsing with Attribute Grammar
IEEE Transactions on Pattern Analysis and Machine Intelligence
Structure segmentation and recognition in images guided by structural constraint propagation
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Cognitive Techniques in Visual Data Interpretation
Cognitive Techniques in Visual Data Interpretation
The use of mathematical linguistic methods in creating secret sharing threshold algorithms
Computers & Mathematics with Applications
Mathematical Linguistics
Semantic Analysis Processes in UBIAS Systems for Cognitive Data Interpretation
IMIS '11 Proceedings of the 2011 Fifth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Advances in Cognitive Information Systems
Advances in Cognitive Information Systems
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In the paper a new way of pattern semantic interpretation directed at automatic semantic classification and image content understanding will be described. Such an understanding will be based on the linguistic theories of pattern classification and is aimed at facilitation of content analysis for some classes of medical patterns. The approach presented in this paper will show the great possibilities of automatic disease interpretation in some analyzed data. The interpretation will be based on cognitive processes, which imitate the psychological processes of understanding the registered patterns as they take place in the brain of a human being. Cognitive analysis will be based on languages of shape description and picture grammars which allow the creation of syntactic descriptions of selected anatomic organs together with a definition of the semantic meaning of the changes in their shapes. Such descriptions will further allow creating a semantically-oriented representation of visual data describing pattern features which are useful in medical decisions and computer-aided diagnostic systems. This publication presents the cognitive systems of medical data image analysis. Systems that conduct cognitive analyses are designed so that semantic analyses can be used to interpret data and reconstruct medical images. These systems are built for medical types of data analysis systems. An analysis in classical CIAIS (Cognitive Image Analysis Information Systems) will be used to illustrate and present the method of learning new solutions which the systems have no knowledge of. The proposed solution presents the method of building a new class of cognitive systems names E-CIAIS (Extended Cognitive Image Analysis Information Systems).