Although the capabilities of computer image analysis do not yet
match those of the human visual system, recent developments have
made great progress towards tackling the challenges posed by the
perceptual analysis of images.
This unique text/reference highlights a selection of important,
practical applications of advanced image analysis methods for
medical images. The book covers the complete methodology for
processing, analysing and interpreting diagnostic results of sample
computed tomography (CT) images. The text also presents significant
problems related to new approaches and paradigms in image
understanding and semantic image analysis. To further engage the
reader, example source code is provided for the implemented
algorithms in the described solutions.
Topics and features: describes the most important methods and
algorithms used for image analysis, including holistic and
syntactic methods; examines the fundamentals of cognitive computer
image analysis for computer-aided diagnosis and semantic image
description, introducing the cognitive resonance model; presents
original approaches for the semantic analysis of CT perfusion and
CT angiography images of the brain and carotid artery; discusses
techniques for creating 3D visualisations of large datasets, and
efficient and reliable algorithms for 3D rendering; reviews natural
user interfaces in medical imaging systems, covering innovative
Gesture Description Language technology; concludes with a summary
of significant developments in advanced image recognition
techniques and their practical applications, along with possible
directions for future research.
This cutting-edge work is an invaluable practical resource for
researchers and professionals interested in medical informatics,
computer-aided diagnosis, computer graphics, and intelligent
information systems.
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