Title :
Cognitive Analysis Systems for 3D Image Data Interpretation
Author :
Ogiela, Lidia ; Ogiela, Marek R.
Author_Institution :
AGH Univ. of Sci. & Technol., Krakow, Poland
Abstract :
This publication presents the new idea of cognitive systems of data analysis (medical image analysis) for 3D reconstructions of image data. Systems that conduct cognitive analyses and cognitive resonance are designed so that semantic analyses can be used to interpret data and reconstructions medical images. These systems are built for medical types of data analysis systems, and in this publication is the presentation cognitive systems for analysing three-dimensional (3D) medical images of large vessels - coronary arteries. An analysis in classical UBIAS systems - will be used to illustrate and presentation the method of enhancing only this class of cognitive systems with processes whereby these systems learn new solutions about which the systems have no knowledge. The proposed solution presents the method of building a new class of cognitive systems names E-UBIAS (Extended Understanding Based Image Analysis Systems).
Keywords :
blood vessels; cognitive systems; data analysis; image reconstruction; medical image processing; 3D image data interpretation; 3D image data reconstructions; E-UBIAS; classical UBIAS systems; cognitive analysis systems; cognitive resonance; conduct cognitive analysis; coronary arteries; data analysis; data interpretation; extended understanding-based image analysis systems; medical images reconstruction; presentation cognitive systems; semantic analysis; three-dimensional medical images analysis; Arteries; Data analysis; Lesions; Medical diagnostic imaging; Semantics; 3D reconstructions of medical images; E-UBIAS systems; UBIAS systems; cognitive systems; multi-dimensional analysis; semantic analysis of data;
Conference_Titel :
Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2012 Sixth International Conference on
Conference_Location :
Palermo
Print_ISBN :
978-1-4673-1328-5
DOI :
10.1109/IMIS.2012.80