TY - GEN
T1 - Automated classification schemes for optical tomographic arthritis scans
AU - Hielscher, Andreas H.
AU - He, Songnan
N1 - Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2005
Y1 - 2005
N2 - We have recently developed a sagittal laser optical tomographic (SLOT) imaging system for the diagnosis and monitoring of inflammatory processes in proximal interphalangeal (PIP) joints of patients with rheumatoid arthritis (RA). While cross sectional images of distribution of optical properties can now be generated easily, clinical interpretation of these images remains a challenge. In this paper, we apply and analyse two machine learning methods for optimal identification and severity classification of RA in a data set of 78 joints. The methods surveyed include Fisher Face with Support Vector Machines (SVMs), and Transformed Mixtures of Gausians (TMG). It appears that TMG methods outperform the approach using Fisher Face with SVMs; however, the results need to be further validated in studies involving larger patient populations.
AB - We have recently developed a sagittal laser optical tomographic (SLOT) imaging system for the diagnosis and monitoring of inflammatory processes in proximal interphalangeal (PIP) joints of patients with rheumatoid arthritis (RA). While cross sectional images of distribution of optical properties can now be generated easily, clinical interpretation of these images remains a challenge. In this paper, we apply and analyse two machine learning methods for optimal identification and severity classification of RA in a data set of 78 joints. The methods surveyed include Fisher Face with Support Vector Machines (SVMs), and Transformed Mixtures of Gausians (TMG). It appears that TMG methods outperform the approach using Fisher Face with SVMs; however, the results need to be further validated in studies involving larger patient populations.
UR - http://www.scopus.com/inward/record.url?scp=33846936816&partnerID=8YFLogxK
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U2 - 10.1109/iembs.2005.1616711
DO - 10.1109/iembs.2005.1616711
M3 - Conference contribution
AN - SCOPUS:33846936816
SN - 0780387406
SN - 9780780387409
T3 - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
SP - 1480
EP - 1483
BT - Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Y2 - 1 September 2005 through 4 September 2005
ER -