Resolution invariant wavelet features of melanoma studied by SVM classifiers.
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ABSTRACT:
SUBMITTER: Surowka G
PROVIDER: S-EPMC6364923 | biostudies-literature | 2019
REPOSITORIES: biostudies-literature
Publications
Resolution invariant wavelet features of melanoma studied by SVM classifiers.
Surówka Grzegorz G Ogorzalek Maciej M
PloS one 20190206 2
This article refers to the Computer Aided Diagnosis of the melanoma skin cancer. We derive wavelet-based features of melanoma from the dermoscopic images of pigmental skin lesions and apply binary C-SVM classifiers to discriminate malignant melanoma from dysplastic nevus. The aim of this research is to select the most efficient model of the SVM classifier for various image resolutions and to search for the best resolution-invariant wavelet bases. We show AUC as a function of the wavelet number a ...[more]
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