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Proceedings Paper

Computer-Aided Diagnosis Utilizing Interactive Fuzzy Pattern Recognition Techniques
Author(s): M. A. Ismail
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Paper Abstract

Interactive or display-oriented pattern recognition algorithms can be utilized with advantage in the design of efficient computer-aided diagnostic systems. These visual methods may provide a powerful alternative to the pure numerical approach of data analysis for diagnostic and prognostic purposes. Functional as well as pictorial representation techniques are discussed in conjunction with some newly developed semi-fuzzy classification techniques. The blend between the two methodologies leads to the design of a very flexible, yet powerful diagnostic system. Results obtained when applying the proposed system on a group of patients representing several classes of liver dysfunction are also reported, to demonstrate the effectiveness of the proposed methodology.

Paper Details

Date Published: 3 August 1984
PDF: 8 pages
Proc. SPIE 0515, Medical Images and Icons, (3 August 1984); doi: 10.1117/12.964798
Show Author Affiliations
M. A. Ismail, University of Windsor (Canada)

Published in SPIE Proceedings Vol. 0515:
Medical Images and Icons
Andre J. Duerinckx; Murray H. Loew; Judith M. S. Prewitt, Editor(s)

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