Medical Image Understanding Technology: Artificial Intelligence and Soft-Computing for Image Understanding

✍ Scribed by Professor Ryszard Tadeusiewicz (auth.), Professor Ryszard Tadeusiewicz, Professor Marek R. Ogiela (eds.)

Publisher: Springer-Verlag Berlin Heidelberg
Year: 2004
Tongue: English
Leaves: 157
Series: Studies in Fuzziness and Soft Computing 156
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages I-VII
Introduction....Pages 1-5
What is Image Understanding Technology and why do we need it?....Pages 7-45
A General Description of the Fundamental Ideas Behind Automatic Image Understanding....Pages 47-59
Formal Bases for the Semantic Approach to Medical Image Processing Leading to Image Understanding Technology....Pages 61-78
Examples of Structural Pattern Analysis and Medical Image Understanding Application to Medical Diagnosis....Pages 79-134
The application of the Image Understanding Technology to Semantic Organisation and Content-Based Searching in Multimedia Medical Data Bases....Pages 135-139
Strengths and Weaknesses of the Image Understanding Technology Compared to Previously Known Approaches....Pages 141-143
Back Matter....Pages 145-156

✦ Subjects

Biomedical Engineering; Artificial Intelligence (incl. Robotics); Pattern Recognition; Physiological, Cellular and Medical Topics; Appl.Mathematics/Computational Methods of Engineering

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