Medical Image Understanding Technology - Artificial Intelligence and Soft-Computing for Image Understanding (Paperback, Softcover reprint of the original 1st ed. 2004)


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.

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Product Description

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.

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Product Details

General

Imprint

Springer-Verlag

Country of origin

Germany

Series

Studies in Fuzziness and Soft Computing, 156

Release date

August 2014

Availability

Expected to ship within 10 - 15 working days

First published

2004

Authors

Dimensions

235 x 155 x 9mm (L x W x T)

Format

Paperback

Pages

156

Edition

Softcover reprint of the original 1st ed. 2004

ISBN-13

978-3-642-53578-9

Barcode

9783642535789

Categories

LSN

3-642-53578-X



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