AI Based Automated Skin lesion Classification for Melanoma Detection Using Deep Learning Techniques

Skin cancer majorly known as Malignant Melanoma Skin Cancer. A life-threating Disease has affected majority of the population worldwide. Even in this Era of improved Technology, the death rate of melanoma cases is increasing rapidly. This is because of lack of Advanced technique in determining the Accurate diagnosis in Early stage as soon as Possible. If it is detected in earlystage the rate of Survival is high. This paper gives the systematically study about melanoma and how it can be detected in initial stages using Automated Machine learning and Deep learning techniques and to optimize previous works in Melanoma Detection. Existing methods detected accuracy of 80% and DenseNet-121 Obtained an accuracy of 90%. This paper also compares different Advanced Machine learning and Deep learning techniques during this research.