Share Email Print

Proceedings Paper

Combining knowledge discovery from databases (KDD) and case-based reasoning (CBR) to support diagnosis of medical images
Author(s): Andrew Stranieri; John Yearwood; Binh Pham
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The development of data warehouses for the storage and analysis of very large corpora of medical image data represents a significant trend in health care and research. Amongst other benefits, the trend toward warehousing enables the use of techniques for automatically discovering knowledge from large and distributed databases. In this paper, we present an application design for knowledge discovery from databases (KDD) techniques that enhance the performance of the problem solving strategy known as case- based reasoning (CBR) for the diagnosis of radiological images. The problem of diagnosing the abnormality of the cervical spine is used to illustrate the method. The design of a case-based medical image diagnostic support system has three essential characteristics. The first is a case representation that comprises textual descriptions of the image, visual features that are known to be useful for indexing images, and additional visual features to be discovered by data mining many existing images. The second characteristic of the approach presented here involves the development of a case base that comprises an optimal number and distribution of cases. The third characteristic involves the automatic discovery, using KDD techniques, of adaptation knowledge to enhance the performance of the case based reasoner. Together, the three characteristics of our approach can overcome real time efficiency obstacles that otherwise mitigate against the use of CBR to the domain of medical image analysis.

Paper Details

Date Published: 8 July 1999
PDF: 8 pages
Proc. SPIE 3747, New Approaches in Medical Image Analysis, (8 July 1999); doi: 10.1117/12.351621
Show Author Affiliations
Andrew Stranieri, Univ. of Ballarat (Australia)
John Yearwood, Univ. of Ballarat (Australia)
Binh Pham, Univ. of Ballarat (Australia)

Published in SPIE Proceedings Vol. 3747:
New Approaches in Medical Image Analysis
Binh Pham; Michael Braun; Anthony John Maeder; Michael P. Eckert, Editor(s)

© SPIE. Terms of Use
Back to Top