A Systematic Review on Detection and Classification of Melanoma

The human skin serves as the exterior protective layer of body, shielding the interior organs beneath from damaging UV rays, dust, and pollution. Cancer is one of the main causes of mortality worldwide as per WHO. One-third of all malignancies that have been diagnosed around the world are skin cancers. Skin cancer has been more common during the last few decades. Melanoma and its global incidence rate have been quickly increasing in recent years. Identifying skin cancer in its early stages can result in a considerable drop in the fatality rate. Melanoma's complicated nature and structure make it difficult to distinguish unique aspects based on the type, shape of the cancer cells, color and texture. This literature review gives an overview of the present state of melanoma detection methods. The review discusses the numerous approaches and procedures used to diagnose melanoma, as well as their potential accuracy, limitations in accuracy, and prospects for improvement. It will concentrate on various ways of diagnosis, such as imaging techniques such as dermoscopy and various methods in artificial intelligence. The review will also look at the problems and potential breakthroughs in the field of melanoma detection.