An Ensemble-based Deep Learning Model For Detection Of Mutation Causing Cutaneous Melanoma

This article discusses the use of machine learning and deep learning algorithms to detect cutaneous melanoma of the skin. The novelty of the proposed study is that it can detect cutaneous melanoma of the skin earlier and efficiently and the result will be more accurate. The datasets used for training the model, testing, and validating the results are obtained from asia.ensembl.org and intogen.org. Different deep learning algorithms are used to attain the highest level of accuracy and different testing techniques are used to measure its accuracy.