A Survey on a Skin Disease Detection System

A Survey on a Skin Disease Detection System

Md. Al Mamun, Mohammad Shorif Uddin
DOI: 10.4018/IJHISI.20211001.oa35
Article PDF Download
Open access articles are freely available for download

Abstract

Skin diseases are frequent and quite perennial in the world, and in some cases, these lead to cancer. These are curable if detected earlier and treated appropriately. An automated image-based detection system consisting of four main modules: image enhancement, region of interest segmentation, feature extraction, and detection can facilitate early identification of these diseases. Diverse image-based methods incorporating machine learning techniques are developed to diagnose different types of skin diseases. This article focuses on the review of the tools and techniques used in the diagnosis of 28 common skin diseases. Furthermore, it has discussed the available image databases and the evaluation metrics for the performance analysis of various diagnosis systems. This is vital for figuring out the implementation framework as well as the efficacy of the diagnosis methods for the neophyte. Based on the performance accuracy, the state-of-the-art method for the diagnosis of a particular disease is figured out. It also highlights challenges and shows future research directions.
Article Preview
Top

1. Introduction

The skin is the largest organ of the human body. For an adult, the skin surface measures approximately 16,000 cm and represents about 8% of the body weight. Skin is normally affected by sunscreen, UV rays, heat rash, itching, lesions, dark spots, and other infections. Skin diseases are a general disease like other serious diseases (Roy, 2019; Trabelsi, 2013). According to the WHO, more than 2 million people are affected by non-melanoma and around 132,000 people are affected by melanoma (a type of cancer) through the skin each year worldwide. Therefore, all skin diseases are not cancerous (melanomas) (Chowdhury, 2016; George, 2016), but, some skin diseases are also developing as side effects of other chronic diseases. The skin has mainly two layers. The outer layer is known as the epidermis consisting of three cells, such as squamous, basal, and melanocytes, and the inner layer is known as the dermis. Usually, skin cancer starts from the epidermis (Cheng, 2012; Dos, 2008; Hasija, 2017; Manoorkar, 2016; Oselame, 2015; Patil, 2015; Zaidan, 2010).

Complete Article List

Search this Journal:
Reset
Volume 19: 1 Issue (2024)
Volume 18: 1 Issue (2023)
Volume 17: 2 Issues (2022)
Volume 16: 4 Issues (2021)
Volume 15: 4 Issues (2020)
Volume 14: 4 Issues (2019)
Volume 13: 4 Issues (2018)
Volume 12: 4 Issues (2017)
Volume 11: 4 Issues (2016)
Volume 10: 4 Issues (2015)
Volume 9: 4 Issues (2014)
Volume 8: 4 Issues (2013)
Volume 7: 4 Issues (2012)
Volume 6: 4 Issues (2011)
Volume 5: 4 Issues (2010)
Volume 4: 4 Issues (2009)
Volume 3: 4 Issues (2008)
Volume 2: 4 Issues (2007)
Volume 1: 4 Issues (2006)
View Complete Journal Contents Listing