Skin Cancer Predictor by Image Processing using Big Data Techniques

When an individual suffer from particular skin disease, the affected person should physically visit the doctor, which consumes more time and money. Also, if the affected person is out of reach of the doctor and hospitals, it may be difficult to identify the disease and also some will feel uncomfortable to convey the skin related problem to the doctor. To reduce the doctor's efforts, an economical, efficient and ess time-consuming model has to be developed to provide correct treatment on time and the developed model will also make the affected person to feel free to convey their problem by providing the input as a picture of the affected area to the skin cancer predictive model, which then generates the meta report that is more helpful to understand the type of skin cancer.