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Natural User Interfaces in Medical Image Analysis

Cognitive Analysis of Brain and Carotid Artery Images

  • Book
  • © 2015

Overview

Authors:
  1. Marek R. Ogiela

    1. AGH University of Science and Technology, Kraków, Poland

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  2. Tomasz Hachaj

    1. Pedagogical University of Kraków, Kraków, Poland

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    You can also search for this author in PubMed   Google Scholar

  • 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)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. Image Processing, Pattern Recognition, and Semantic Understanding Techniques

    • Marek R. Ogiela, Tomasz Hachaj
    Pages 1-70

  3. Cognitive Methods for Semantic Image Analysis in Medical Imaging Applications

    • Marek R. Ogiela, Tomasz Hachaj
    Pages 71-91

  4. Computer Analysis of Brain Perfusion and Neck Angiography Images

    • Marek R. Ogiela, Tomasz Hachaj
    Pages 93-151

  5. Brain and Neck Visualization Techniques

    • Marek R. Ogiela, Tomasz Hachaj
    Pages 153-204

  6. Natural User Interfaces for Exploring and Modeling Medical Images and Defining Gesture Description Technology

    • Marek R. Ogiela, Tomasz Hachaj
    Pages 205-279

  7. Summary

    • Marek R. Ogiela, Tomasz Hachaj
    Pages 281-283

  8. Back Matter

    Pages 285-288
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Keywords

About this book

This unique text/reference highlights a selection of 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 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. Features: describes the most important methods and algorithms used for image analysis; examines the fundamentals of cognitive computer image analysis for computer-aided diagnosis and semantic image description; 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; reviews natural user interfaces in medical imaging systems, including GDL technology.

Authors and Affiliations

  • AGH University of Science and Technology, Kraków, Poland

    Marek R. Ogiela

  • 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

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