Intelligent Detection System for diagnosis of Systemic Lupus Erythematosus (SLE)

SLE is a disease that is incurable. However, due to the limited technology, some patients has missed the treatment as they aren’t been tested to have the positive test having lupus until the disease is uncontrollable and spread through their body and causing death. Therefore, in this paper, we proposed an intelligent detection system for the SLE to have the more accurate diagnostic solution for the patients. In this intelligent detection system, MATLAB is approached and the 4 stages, pre-processing ANA image for the Human Epithelial type 2 (HEP-2) cells, segmentation, feature extraction, and classification are being done to have the accurate detection of the SLE disease. After reading some literature reviews for the research done previously by a lot of researchers, especially Paola Soda, the most appropriate techniques has been applied for this intelligent detection system of SLE. In conclusion, the intelligent detection of SLE by MATLAB approach is going to be a simple and effective ways to help in the medical field for the more accurate results in diagnosis of lupus.