Computer Aided Diagnosis of Skin Lesions from Morphological Features

Abstract

Skin cancer is the most common cancer, accounting for over 40% of all cancer cases. The morphological features of skin lesions are an integral component of skin cancer detection and diagnosis. With the rapid progress in the field of image classification, increasing attention has been put towards the Computer Aided Diagnosis of skin lesions based on their morphological features. The International Skin Imaging Collaboration (ISIC) Archive is the largest publicly available collection of dermoscopic images of skin lesions, and in 2018 ISIC hosted an image recognition challenge for dermoscopic images. This short paper describes the CAD system that we submitted to this challenge.