Effective diagnosis mechanism for skin disorders using image mining techniques

Abstract

Owing to its costly diagnosis, which requires elevated human interpretation, skin conditions are one of the major medical problems. In assessing the chance of getting treated, early-stage diagnosis of skin disorders plays a crucial role. We assume that the use of an accurate classifier helps to diagnose early-stage skin disorders. Therefore, we present a fully automated classification system in this article for diagnosing skin disorders by using image mining techniques. Our model is designed to compromise pixel, object and pattern levels in three steps, respectively. We have used multiple image mining techniques like augmentation, feature extraction, classification in order to classify skin disorder images effectively.