Abstract
Using optical tomographic data from fingers affected by RA we compare the performance of 3 different classification methods. Linear discriminant and quadratic discriminant analysis methods yield high sensitivities while support-vector machine-based methods yield high specificities.
Original language | English (US) |
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Title of host publication | Biomedical Optics and 3-D Imaging, OSA Technical Digest (CD) (Optica Publishing Group, 2010) |
DOIs | |
State | Published - 2010 |