000 04175nam a22004815i 4500
999 _c200434207
_d52419
003 DE-He213
005 20231104114327.0
007 cr nn 008mamaa
008 140607s2015 gw | s |||| 0|eng d
020 _a9783319078007
_z978-3-319-07800-7
024 7 _a10.1007/978-3-319-07800-7
_2doi
040 _aTR-AnTOB
_beng
_cTR-AnTOB
_erda
050 4 _aTA1637-1638
050 4 _aTA1634
072 7 _aUYT
_2bicssc
072 7 _aCOM012000
_2bisacsh
072 7 _aUYT
_2thema
072 7 _aUYQV
_2thema006.6
_223006.37
_223
100 1 _aOgiela, Marek R.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aNatural User Interfaces in Medical Image Analysis :
_bCognitive Analysis of Brain and Carotid Artery Images /
_cby Marek R. Ogiela, Tomasz Hachaj.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 0 _aAdvances in Computer Vision and Pattern Recognition,
_x2191-6586
505 0 _aImage 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 _aAlthough 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.
650 0 _aComputer vision.
650 0 _aOptical pattern recognition.
650 0 _aRadiology, Medical.
650 1 4 _aImage Processing and Computer Vision.
_0http://scigraph.springernature.com/things/product-market-codes/I22021
650 2 4 _aPattern Recognition.
_0http://scigraph.springernature.com/things/product-market-codes/I2203X
650 2 4 _aImaging / Radiology.
_0http://scigraph.springernature.com/things/product-market-codes/H29005
700 1 _aHachaj, Tomasz.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
856 4 0 _uhttps://doi.org/10.1007/978-3-319-07800-7
_3Springer eBooks
_zOnline access link to the resource
942 _2lcc
_cEBK
041 _aeng