Referenced Items are not available for this document.
Culling diagnostic information from biomedical spectra is often exasperated by an imperfect or imprecise gold standard. A fuzzy set theoretic preprocessing method is described that reduces the classification error rate by enhancing a gold standard through the incorporation of nonsubjective within-group centroid information. Magnetic resonance spectra of human brain neoplasms were used to determine the effectiveness of this strategy. A multi-layer perceptron classifier was used as the performance benchmark
Published in:
WESCANEX 97: Communications, Power and Computing. Conference Proceedings., IEEE
Date of Conference: 22-23 May 1997
- Page(s):
- 150 - 152
- Meeting Date :
- 22 May 1997-23 May 1997
- Print ISBN:
- 0-7803-4147-3
- INSPEC Accession Number:
- 5761491
- Conference Location :
- Winnipeg, Man.
- Digital Object Identifier :
- 10.1109/WESCAN.1997.627129
- Product Type:
- Conference Publications
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