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13th IEEE Symposium on Computer-Based Medical Systems (CBMS'00)
Automated Chromosome Classification Using Wavelet-Based Band Pattern Descriptors
Houston, Texas
June 23-June 24
ISBN: 0-7695-0484-1
Qiang Wu, Perceptive Scientific Instruments, Inc.
Kenneth R. Castleman, Perceptive Scientific Instruments, Inc.
Automated chromosome classification has been an important pattern recognition problem for decades. Numerous attempts were made in the past to characterize chromosome band patterns as part of the feature description vector. In this paper, we describe a recent study to employ wavelet packets as basis function sets to compute chromosome band pattern features. 28 wavelet packet basis function sets were evaluated in this study. The experimental results are presented and compared with those of currently best-performing method on two benchmark chromosome datasets.
Index Terms:
Chromosome classification, band pattern descriptor, pattern recognition, signal/image processing in medicine
Citation:
Qiang Wu, Kenneth R. Castleman, "Automated Chromosome Classification Using Wavelet-Based Band Pattern Descriptors," cbms, pp.189, 13th IEEE Symposium on Computer-Based Medical Systems (CBMS'00), 2000
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