Information Technology Reference
In-Depth Information
Chapter 5
UBIAS - Intelligent Cognitive Systems
for Visual Data Analysis
UB IAS - I nte llige nt Cogn itive S yste ms for Vis ual Data A nal ysis
UB IAS - I nte llige nt Cogn itive S yste ms for Vis ual Data A nal ysis
UBIAS image analysis systems are used to analyse data in the form of images and
have been developed for a number of years as part of work to apply cognitive data
analysis systems in practical, automated meaning interpretation tasks.
The characteristic feature of such systems is their universality and high preci-
sion when they execute interpretation and decision-making processes. Image
analysis systems were initially developed as one class of cognitive data categorisa-
tion systems and, being the first, became the starting point for writing the com-
plete classification of cognitive data analysis systems.
Image analysis systems, because they analyse completely different data sets,
meaning not just different types of images, but also disparate features of them,
make it possible to introduce newer and newer definitions and thus to modify (im-
prove) solutions deployed earlier.
UBIAS systems analysing medical images are considered to be fundamental
and were the original reason for proposing this class of cognitive data categorisa-
tion systems which have been very successfully developed for many years in the
following publications [82]-[92], [97], [114], [136].
The essence of the operation of UBIAS systems is the correctly conducted de-
cision-making process based on cognitive resonance which looks as follows for
UBIAS systems (Figure 5.1).
Fig. 5.1.
Cognitive resonance in UBIAS systems
The medical images selected for analysing, showing lesions within various hu-
man organs, undergo a semantic analysis aimed at isolating anomalies signifi-
cantly impacting the patient's life and health from the analysed sets. Based on the
images analysed, sets of features characteristic for the discussed images are de-
fined. These sets are compared to expectations about the analysed data formulated
