• Mathematics, Computer Science, Engineering
  • Published in
    Medical Imaging: Image…
    2004
  • DOI:10.1117/12.536013

Classification of melanoma using wavelet-transform-based optimal feature set

@inproceedings{Walvick2004ClassificationOM,
  title={Classification of melanoma using wavelet-transform-based optimal feature set},
  author={Ronn P. Walvick and Ketan Mayer-Patel and Sachin V. Patwardhan and Atam P. Dhawan},
  booktitle={Medical Imaging: Image Processing},
  year={2004}
}
The features used in the ABCD rule for characterization of skin lesions suggest that the spatial and frequency information in the nevi changes at various stages of melanoma development. To analyze these changes wavelet transform based features have been reported. The classification of melanoma using these features has produced varying results. In this work, all the reported wavelet transform based features are combined to form a single feature set. This feature set is then optimized by removing… CONTINUE READING

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