Overview
- New approach for "image understanding" instead of "image recognition" for medical images
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 156)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
Keywords
About this book
A detailed description of a new approach to perceptual analysis and processing of medical images is given. Instead of traditional pattern recognition a new method of image analysis is presented, based on a syntactic description of the shapes selected on the image and graph-grammar parsing algorithms. This method of "Image Understanding" can be found as a model of mans' cognitive image understanding processes. The usefulness for the automatic understanding of the merit of medical images is demonstrated as well as the ability for giving useful diagnostic descriptions of the illnesses. As an application, the production of a content-based, automatically generated index for arranging and for searching medical images in multimedia medical databases is presented.
Editors and Affiliations
Bibliographic Information
Book Title: Medical Image Understanding Technology
Book Subtitle: Artificial Intelligence and Soft-Computing for Image Understanding
Editors: Ryszard Tadeusiewicz, Marek R. Ogiela
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-540-40997-7
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2004
Hardcover ISBN: 978-3-540-21985-9Published: 14 May 2004
Softcover ISBN: 978-3-642-53578-9Published: 11 August 2012
eBook ISBN: 978-3-540-40997-7Published: 27 August 2012
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: VII, 156
Number of Illustrations: 133 b/w illustrations
Topics: Internal Medicine, Artificial Intelligence, Biomedical Engineering and Bioengineering, Pattern Recognition, Physiological, Cellular and Medical Topics, Mathematical and Computational Engineering