A Review on Skin Disease

Abstract

Skin diseases are quite common and can be caused by various factors such as fungal infections, bacteria, allergies, and viruses. The use of lasers and Photonics in medical technology has improved the speed and accuracy of diagnosing skin diseases. However, the cost of such diagnosis can still be expensive. That's where image processing techniques come in, helping to create automated screening systems for dermatology. By extracting features from digital images of affected skin areas, we can classify different types of skin diseases. Our proposed method is simple, fast, and doesn't require expensive equipment. It involves resizing the image, extracting features using a pretrained convolutional neural network, and then classifying the features using Multiclass SVM. The results, including the type, spread, and severity of the disease, are presented to the user. This research contributes to the field of skin disease detection, which is particularly important in regions like Saudi Arabia where skin diseases are common due to deserts and hot weather.