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 Raynaudpsilas 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.

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