Authors:
- Introduces an advanced cognitive approach for semantic image interpretation and computer-aided diagnosis
- Presents examples of 3D analyses and high quality real-time visualizations of brain and neck structures
- Includes an exploration of 3D volumetric data with natural user interfaces techniques
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)
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Table of contents (6 chapters)
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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AGH University of Science and Technology, Kraków, Poland
Marek R. Ogiela
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Pedagogical University of Kraków, Kraków, Poland
Tomasz Hachaj
About the authors
Prof. Dr. Marek R. Ogiela is a Professor of Computer Science and Head of the Cryptography and Cognitive Informatics Research Group at the AGH University of Science and Technology, Krakow, Poland. He has developed new paradigms of visual pattern cognitive understanding, as well as crypto-biometric secret-sharing threshold schemes.
His publications include the Springer titles Secure Information Management Using Linguistic Threshold Approach, Advances in Cognitive Information Systems, Computational Intelligence Paradigms in Advanced Pattern Classification, Cognitive Techniques in Visual Data Interpretation and Modern Computational Intelligence Methods for the Interpretation of Medical Images.
Dr. Tomasz Hachaj is an Assistant Professor at the Institute of Computer Science and Computational Methods of the Pedagogical University of Krakow, Poland. His research interests are in pattern recognition, image processing and computer graphics. He is the author of a few dozen scientific publications in his fields of interest.
Prof. Dr. Marek R. Ogiela and Dr. Tomasz Hachaj are inventors of the innovative GDL technology for multimedia systems and human gesture analysis.
Bibliographic Information
Book Title: Natural User Interfaces in Medical Image Analysis
Book Subtitle: Cognitive Analysis of Brain and Carotid Artery Images
Authors: Marek R. Ogiela, Tomasz Hachaj
Series Title: Advances in Computer Vision and Pattern Recognition
DOI: https://doi.org/10.1007/978-3-319-07800-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-07799-4Published: 01 July 2014
Softcover ISBN: 978-3-319-37700-1Published: 17 September 2016
eBook ISBN: 978-3-319-07800-7Published: 07 June 2014
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 1
Number of Pages: XII, 288
Number of Illustrations: 50 b/w illustrations, 74 illustrations in colour
Topics: Image Processing and Computer Vision, Pattern Recognition, Imaging / Radiology