Title :
A novel method for classification of high-resolution nailfold capillary microscopy images
Author :
Chia-Hsien Wen ; Tsu-Yi Hsieh ; Wei-Duen Liao ; Joung-Liang Lan ; Der-Yuan Chen ; Kuan-Ching Li ; Yin-Te Tsai
Author_Institution :
Dept. of Comput. Sci. & Inf. Manage., Providence Univ., Providence, RI
fDate :
July 31 2008-Aug. 1 2008
Abstract :
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.
Keywords :
diseases; image classification; image resolution; medical image processing; Raynaud phenomenon; high resolution images; high-resolution nailfold capillary microscopy image classification; noninvasive in-vivo technique; progress systemic sclerosis diseases; progressive systemic sclerosis; rheumatoid arthritis; systemic Lupus Erythematosus; Biomedical engineering; Biomedical imaging; Computer science; Diseases; Hospitals; Image resolution; Immune system; Medical diagnostic imaging; Microscopy; Skin;
Conference_Titel :
Ubi-Media Computing, 2008 First IEEE International Conference on
Conference_Location :
Lanzhou
Print_ISBN :
978-1-4244-1865-7
Electronic_ISBN :
978-1-4244-1866-4
DOI :
10.1109/UMEDIA.2008.4570945
