A novel method for classification of high-resolution nailfold capillary microscopy images

Nailfold capillary microscopy examination has been used since late 1950s as a non-invasive in-vivo technique for diagnosing and monitoring connective tissue disease in adults. Disorders such as Raynaud’s phenomenon, progressive systemic sclerosis, and rheumatoid arthritis were detected in more than 80% of adult patients, after analyzing such high resolution images. In this research paper, we propose a method to classify nailfold capillary microscopy images into SLE (Systemic Lupus Erythematosus)and PSS (Progress Systemic sclerosis) diseases.