An Efficient Skin Cancer Diagnostic System Using Bendlet Transform and Support Vector Machine.

In this study, skin cancer classification (SCC) system is developed using dermoscopic images. It is considered as a classification problem with the help of Bendlet Transform (BT) as features and Support Vector Machine (SVM) as a classifier. First, the unwanted information's such as hair and noises are removed using median filtering approach. Then, directional representation based feature extraction system that precisely classifies curvature, location and orientation is employed. Finally, two SVM classifiers are designed for the classification. The performance of the SCC system based on Bendlet is superior to other image representation systems such as Wavelets, Curvelets, Contourlets and Shearlets. PMID: 32491128 [PubMed - in process]
Source: An Acad Bras Cienc - Category: Science Authors: Tags: An Acad Bras Cienc Source Type: research