Digital Image Processing Based Detection of Rheumatoid Arthritis using Pythagorean Theorem
| Autor: | Zeshan Akram, Sajida Fayyaz, Hafiz Ali Hamza Gondal, Ahmed Sohail, Muhammad Adnan Khan |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
musculoskeletal diseases
medicine.medical_specialty medicine.diagnostic_test business.industry 05 social sciences 0507 social and economic geography Medical laboratory Arthritis medicine.disease 03 medical and health sciences Digital image 0302 clinical medicine Region of interest Rheumatoid arthritis Digital image processing medicine Blood test Rheumatoid factor Medical physics 030212 general & internal medicine business 050703 geography |
| Zdroj: | 2020 14th International Conference on Open Source Systems and Technologies (ICOSST). |
| DOI: | 10.1109/icosst51357.2020.9333110 |
| Popis: | Digital image processing has procured huge significance in analysis and diagnosis of diseases in this era of technology. Detection of rheumatoid arthritis is a challenge in the situation when experts are unavailable. Rheumatoid Arthritis (RA) is a disorder of the immune system, which attacks our own tissues and causes joint pain, swelling, and stiffness. To detect RA, rheumatologists recommend a blood test, named “Rheumatoid Factor”. In laboratories, this test is performed manually by technicians, where the presence of experts is necessary, and chances of human errors and mistakes exist. We proposed a method that will identify the Rheumatoid Arthritis by applying digital image processing approaches. This proposed method is based on pre-processing and finding the region of interest. To find the performance of proposed method the blood samples are taken in medical Laboratory and experimental results showed that the efficiency of this method is 98%. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|