The following chapters of this book presents key issues
concerning the neurophysiological aspects of executing cognitive
thought processes and the basics of cognitive informatics and new
proposals of UBIAS systems dedicated to the meaning-based analysis
of selected types of medical images. In particular, to structure
the considerations of pattern classification methods, Chapter 2
discusses traditional image recognition techniques and algorithms
from the simplest methods based on metric spaces up to methods that
use the paradigms of computer image understanding. Chapter 3 deals
with the cognitive aspects of brain function. Information from this
chapter allows the authors, in a latter part of this book, to show
functional analogies between the operation of biological systems
and computer implementations. Chapter 4 provides a short compendium
of knowledge about the new branch of informatics which formally
describes thought processes, namely cognitive informatics. The
introduction to subjects of cognitive processes analysed by
cognitive informatics will then allow us to introduce new classes
of computer systems executing cognitive resonance processes. The
following Chapter 5 defines a new class of information systems
using cognitive resonance processes. This chapter reviews several
proposals of various classes of cognitive categorisation systems
put forward by the authors. Chapter 6 contains a broader discussion
of the UBIAS system class which the authors proposed for the
meaning-based analysis of medical images. Then, Chapter 7 discusses
in detail two examples of UBIAS systems built for the semantic
classification of foot bone X-rays and images of long bone injuries
in extremities. Chapter 8, the last, compiles and summarises
information on creating cognitive vision systems designed for the
semantic classification of patterns.
The authors present this book to Readers in the hope that it
will stir their fascination with the scientific aspects of creating
new generation computer systems which imitate thought processes and
can determine the meaning of complex image patterns.
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