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