Diagnosis of skin cancer using deep learning

Skin diseases consists a wide range of ailments that affect the skin, including microbial infections, viral, fungal, allergies, epidermis malignancies, and parasitic diseases. In South-Asian countries like India people don’t care much about skin conditions. our country, prefer home remedies to cure conditions instead visiting dermatologist which can lead serious Early diagnosis disease is very important as it reduce severity condition. Melanoma deadliest type cancer, most prominent form cancer. could be diagnosed early, would overall illness death. The odds dying from ailment proportional extent malignancy, length time has been growing. keys early detection are patient self-examination full-body screenings by dermatologist, engagement. This work aims categorize cancer into two types: malignant benign. Two different approaches were used. Starting with simple Convolutional Neural Network then moving on transfer learning. experiment, we able attain classification accuracy 82 percent.