Diagnosis of Psoriasis Disease by Using Linear Features Extraction of Medical Images

Psoriasis is a disease that affects the immune system and causes the disease in the individual. The disease has many types and can occur anywhere in the body, including hands and feet. Considering the new methods of treating the disease, there is no definitive way to treat psoriasis. Today, in the diagnosis and treatment of this disease, such as systemic therapy, light therapy, and so on[4]. In this paper, we have tried to deal with the diagnosis of this disease by processing medical images. In the processes carried out by applying the scan filters and Sobel filters and extracting the statistical properties, the percentage of accuracy obtained in the neural network is 91.5.

Diagnosis of Psoriasis Disease by Using Linear Features Extraction of Medical Images Keywords:

Psoriasis , Image processing , Sobel filter , Neural network of Elman