Skin Lesion Segmentation and Classification for ISIC 2018 Using Traditional Classifiers with Hand-Crafted Features

This paper provides the required description of the methods used to obtain results for Task1 and Task 3 of ISIC 2018: Skin Lesion Analysis Melanoma Detection. The results have been created by a team of at the University of Dayton Signal and Image Processing Lab. In submission, traditional classifiers with hand-crafted features are for Task 1 and Task 3. Our team is providing additional separate using deep learning methods for comparison.