relation: https://khub.utp.edu.my/scholars/3374/
title: 3D surface roughness measurement for scaliness scoring of psoriasis lesions
creator: Ahmad Fadzil, M.H.
creator: Prakasa, E.
creator: Asirvadam, V.S.
creator: Nugroho, H.
creator: Affandi, A.M.
creator: Hussein, S.H.
description: Psoriasis is an incurable skin disorder affecting 2-3 of the world population. The scaliness of psoriasis is a key assessment parameter of the Psoriasis Area and Severity Index (PASI). Dermatologists typically use visual and tactile senses in PASI scaliness assessment. However, the assessment can be subjective resulting in inter- and intra-rater variability in the scores. This paper proposes an assessment method that incorporates 3D surface roughness with standard clustering techniques to objectively determine the PASI scaliness score for psoriasis lesions. A surface roughness algorithm using structured light projection has been applied to 1999 3D psoriasis lesion surfaces. The algorithm has been validated with an accuracy of 94.12. Clustering algorithms were used to classify the surface roughness measured using the proposed assessment method for PASI scaliness scoring. The reliability of the developed PASI scaliness algorithm was high with kappa coefficients>0.84 (almost perfect agreement). © 2013 Elsevier Ltd.
date: 2013
type: Article
type: PeerReviewed
identifier:   Ahmad Fadzil, M.H. and Prakasa, E. and Asirvadam, V.S. and Nugroho, H. and Affandi, A.M. and Hussein, S.H.  (2013) 3D surface roughness measurement for scaliness scoring of psoriasis lesions.  Computers in Biology and Medicine, 43 (11).  pp. 1987-2000.  ISSN 00104825     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84887178188&doi=10.1016%2fj.compbiomed.2013.08.009&partnerID=40&md5=8f265f294c5693bfb42804ebd6c5e163
relation: 10.1016/j.compbiomed.2013.08.009
identifier: 10.1016/j.compbiomed.2013.08.009