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.
| ISBN: | 9783642535789 |
| Publication date: | 11th August 2012 |
| Author: | Ryszard Tadeusiewicz |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 156 pages |
| Series: | Studies in Fuzziness and Soft Computing |
| Genres: |
Clinical and internal medicine Computational biology / bioinformatics Pattern recognition Maths for engineers Artificial intelligence Biomedical engineering |
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.
Medical Image Understanding Technology features in the following genres: Clinical and internal medicine, Computational biology / bioinformatics, Pattern recognition, Maths for engineers, Artificial intelligence, Biomedical engineering
Medical Image Understanding Technology is available in Paperback
Medical Image Understanding Technology was written by Ryszard Tadeusiewicz and published by Springer an imprint of Springer Berlin Heidelberg
Medical Image Understanding Technology has 156 pages
Yes it is part of Studies in Fuzziness and Soft Computing series