Part of Advances in Neural Information Processing Systems 15 (NIPS 2002)
Anton Schwaighofer, Volker Tresp, Peter Mayer, Alexander Scheel, Gerhard Müller
We describe the RA scanner, a novel system for the examination of pa- tients suffering from rheumatoid arthritis. The RA scanner is based on a novel laser-based imaging technique which is sensitive to the optical characteristics of ﬁnger joint tissue. Based on the laser images, ﬁnger joints are classiﬁed according to whether the inﬂammatory status has improved or worsened. To perform the classiﬁcation task, various lin- ear and kernel-based systems were implemented and their performances were compared. Special emphasis was put on measures to reliably per- form parameter tuning and evaluation, since only a very small data set was available. Based on the results presented in this paper, it was con- cluded that the RA scanner permits a reliable classiﬁcation of patholog- ical ﬁnger joints, thus paving the way for a further development from prototype to product stage.