DocumentCode
2272864
Title
Diagnosis of rheumatoid arthritis with optical tomography: Comparison of classification methods
Author
Montejo, Ludguier D. ; Montejo, Julio D. ; Kim, Hyun K. ; Netz, Uwe J. ; Klose, Christian D. ; Blaschke, Sabine ; Zwaka, PA ; Muller, Gerhard A. ; Beuthan, J. ; Hielscher, Andreas H.
Author_Institution
Dept. of Biomed. Eng., Columbia Univ., New York, NY, USA
fYear
2010
fDate
26-28 March 2010
Firstpage
1
Lastpage
2
Abstract
Linear discriminant analysis (LDA) and support vector machines (SVM) are used to classify reconstructed absorption coefficient distributions of the proximal interphalangeal joints as affected or not affected by rheumatoid arthritis. The performance of each classification method is quantified using the leave-n-out method. LDA is shown to yield high sensitivities, while SVM yields high specificities.
Keywords
bone; diseases; image classification; image reconstruction; medical image processing; optical tomography; support vector machines; classification methods; leave-n-out method; linear discriminant analysis; optical tomography; proximal interphalangeal joints; reconstructed absorption coefficient; rheumatoid arthritis diagnosis; support vector machines; Arthritis; Tomography;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioengineering Conference, Proceedings of the 2010 IEEE 36th Annual Northeast
Conference_Location
New York, NY
Print_ISBN
978-1-4244-6879-9
Type
conf
DOI
10.1109/NEBC.2010.5458156
Filename
5458156
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