Diagnosis of Psoriasis Disease by Using Linear Features Extraction of Medical Images
محل انتشار: سیزدهمین سمپوزیوم بین المللی پیشرفت های علوم و تکنولوژی:سرزمین پایدار، پژوهش های نوین در مهندسی برق و پزشکی
سال انتشار: 1397
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 576
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شناسه ملی سند علمی:
ELECTRICA05_002
تاریخ نمایه سازی: 31 اردیبهشت 1398
چکیده مقاله:
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.
کلیدواژه ها:
نویسندگان
Somaye Saeidi
Bachelor Student in Biomedical Engineering, Khavaran Institute of Higher Education, Mashhad, Iran
Elyas Irankhah
Master Student in Biomedical Engineering, Imam Reza University, Mashhad, Iran
Peyman Goli
Khavaran Institute of Higher Education, Electrical and Computer Engineering Department, Mashhad, Iran
Elias Mazrooei Rad
Khavaran Institute of Higher Education, Electrical and Computer Engineering Department, Mashhad, Iran