A Review on Transfer Learning Approaches for Skin Melanoma Classification

Skin is important organ of our body which covers muscles, bones, and other parts body. Melanoma a kind skin cancer that begins in melanocytes cell. It can influence on the only, or it may expand to bones organs. less common, but more serious aggressive than types cancer. Majority deaths related occur due over world. For effective treatment very melanoma identified earlier as possible. As well detection stages recognize depth spreading melanocyte cell Process Detection difficult, expensive, time-consuming process. Purpose this research review accurate recognition Melanomas decrease ratio false diagnosis using transfer learning model for classification AlexNet, VggNet ResNet. The working different model, its pros. cons. Are discuss paper.