Advancements in Melanoma Skin Cancer Detection Using Deep Learning: A Comprehensive Review

In the past few years skin cancer has become the most common cancer worldwide, and come to know that Melanoma is the most prevalent form of cancer. Also, it's difficult to detect Melanoma in its early stage even for a skilled dermatologist. Recently detecting Melanoma has been viable due to Deep Learning. In this study, we surveyed the effectiveness of various deep-learning algorithms for Melanoma skin cancer detection. We have studied various papers and evaluated different methods on the basis of accuracy, sensitivity, specificity, preprocessing techniques used, image segmentation, image classification, and feature extraction. The findings of this study will shed important light on how well various deep learning algorithms perform at melanoma skin cancer detection, which may assist direct the creation of more efficient diagnostic tools and enhance patient outcomes.