 Melanoma is one of the most common and dangerous types of skin cancer. Deep learning and computer vision have enabled the development of AI systems that can quickly and accurately identify if a patient has malignant cells. These systems are important because they reduce the risk of fatality by providing early detection. Additionally, AI has the potential to revolutionize healthcare in other areas such as melanoma diagnosis. Researchers used two Inception V3 and Inception Resonate V2 strategies to train their model on the HAM 10000 dataset, which contained a limited number of skin cancer samples. They then fine-tuned the feature extraction layers that had been frozen before adding new top layers that were trained. The resulting models outperformed previous studies with an accuracy rate of 0.89 and 0.91 respectively. This article was authored by Gata Alwakid, Walaguta, Mamunahumian, and others. We are article.tv. Links in the description below.