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Natural user interfaces in medical i...

Ogiela, Marek R.

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Natural user interfaces in medical image analysis = cognitive analysis of brain and carotid artery images /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Natural user interfaces in medical image analysis/ by Marek R. Ogiela, Tomasz Hachaj.
Reminder of title:	cognitive analysis of brain and carotid artery images /
Author:	Ogiela, Marek R.
other author:	Hachaj, Tomasz.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	xii, 288 p. :ill., digital ;24 cm.
[NT 15003449]:	Image Processing, Pattern Recognition and Semantic Understanding Techniques -- Cognitive Methods for Semantic Image Analysis in Medical Imaging Applications -- Computer Analysis of Brain Perfusion and Neck Angiography Images -- Brain and Neck Visualization Techniques -- Natural User Interfaces for Exploring and Modeling Brain and Neck Structures -- Summary.
Contained By:	Springer eBooks
Subject:	Imaging systems in medicine. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-07800-7
ISBN:	9783319078007 (electronic bk.)

Natural user interfaces in medical image analysis = cognitive analysis of brain and carotid artery images /
Ogiela, Marek R.

Natural user interfaces in medical image analysiscognitive analysis of brain and carotid artery images /[electronic resource] :by Marek R. Ogiela, Tomasz Hachaj. - Cham :Springer International Publishing :2015. - xii, 288 p. :ill., digital ;24 cm. - Advances in computer vision and pattern recognition,2191-6586. - Advances in computer vision and pattern recognition..

Image Processing, Pattern Recognition and Semantic Understanding Techniques -- Cognitive Methods for Semantic Image Analysis in Medical Imaging Applications -- Computer Analysis of Brain Perfusion and Neck Angiography Images -- Brain and Neck Visualization Techniques -- Natural User Interfaces for Exploring and Modeling Brain and Neck Structures -- Summary.

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.

ISBN: 9783319078007 (electronic bk.)

Standard No.: 10.1007/978-3-319-07800-7doiSubjects--Topical Terms:

629358
Imaging systems in medicine.

LC Class. No.: R857.O6

Dewey Class. No.: 616.0754

Natural user interfaces in medical image analysis = cognitive analysis of brain and carotid artery images /
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245 1 0 $a Natural user interfaces in medical image analysis $h [electronic resource] : $b cognitive analysis of brain and carotid artery images / $c by Marek R. Ogiela, Tomasz Hachaj.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xii, 288 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advances in computer vision and pattern recognition, $x 2191-6586
505 0 $a Image Processing, Pattern Recognition and Semantic Understanding Techniques -- Cognitive Methods for Semantic Image Analysis in Medical Imaging Applications -- Computer Analysis of Brain Perfusion and Neck Angiography Images -- Brain and Neck Visualization Techniques -- Natural User Interfaces for Exploring and Modeling Brain and Neck Structures -- Summary.
520 $a 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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