The development of software that would be to image understanding systems what expert
system shells are to expert systems has been the subject of considerable enquiry over the …

With all the material available in the field of artificial intelligence (AI) and soft computing-
texts, monographs, and journal articles-there remains a serious gap in the literature. Until …

We propose a method to handle approximate searching by image content in medical image
databases. Image content is represented by attributed relational graphs holding features of …

This review looks at a variety of different ways in which computers can be used to assist in
the interpretation of radiological images and in radiological decision-making. The issues …

Reports a new automated method for the segmentation of internal cerebral structures using
an information fusion technique. The information is provided both by images and expert …

We present a knowledge-based approach to segmentation and analysis of the lung
boundaries in chest X-rays. Image edges are matched to an anatomical model of the lung …

Describes a knowledge-based image interpretation system for the segmentation and
labeling of a series of 2-D brain X-ray CT-scans, parallel to the orbito-meatal plane. The …

The authors demonstrate an improved differentiation of the most common tissue types in the
human brain and surrounding structures by quantitative validation using multispectral …

A scene interpretation system is presented in a multisensor fusion context the application of
which involves the interpretation of remote sensed images. The authors discuss how …

A new system to segment and label CT/MRI brain slices using feature extraction and
unsupervised clustering is presented. Each volume element (voxel) is assigned a feature …