Detection of Melanoma Skin Cancer Disease using AI based Approaches for Medical Image Processing - A Study

Abstract

Malignant melanoma, often known as melanoma, is a form of skin cancer that occurs when melanocyte cells that have been harmed by prolonged exposure to UV radiation begin to grow uncontrollably. Although less frequent than certain other types of skin cancer, it is more hazardous because, if not identified and treated at its earliest stages, it quickly metastasizes. Due to their challenging and subjective human interpretation and extremely complex and expensive diagnosis, dermatological diseases rank among the most serious medical problems of the twenty-first century. When it comes to lethal illnesses like melanoma, early detection is crucial for assessing the likelihood of recovery. We think the use of automated approaches will aid in early diagnosis, particularly when a batch of photos has a variety of diagnoses. Therefore, in contrast to traditional medical personnel-based detection, an effort is made to list out the feasible approaches that are already defined to identify the melanoma skin disease. This study on various existing approaches will provide insights on the technologies available in the current era to identify this deadliest disease at the earliest possible time