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

fYear

2008

fDate

July 31 2008-Aug. 1 2008

Firstpage

513

Lastpage

518

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/UMEDIA.2008.4570945

Filename

4570945