relation: https://khub.utp.edu.my/scholars/190/
title: Surface analysis of psoriasis for PASI scaliness assessment
creator: Nugroho, H.
creator: Nazr-E-Batool
creator: Fadzil, M.H.A.
creator: Venkatachalam, P.A.
description: Psoriasis is a skin disorder which typically consists of red plaques covered by silvery-white scales. The extent of the psoriasis lesion has to be assessed in determining treatment efficacy. PASI (Psoriasis Area and Severity Index) is gold standard for assessing the extent of psoriasis lesion. Scaliness is one of the parameters of PASI scoring. However, determining this parameter is found to be subjective as there are inter and intra observer variations. In this work, we develop an image processing method for PASI scaliness scoring. The method converts the depth information of the 3D lesion images (surfaces) into 2D grayscale images. Gray Level Co-occurrence Matrix (GLCM) is used to analyze the 2D images. From 14 patients with scaliness scores 1, 2 and 3, results show that the method has the potential to determine PASI scaliness score. ©2007 IEEE.
date: 2007
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Nugroho, H. and Nazr-E-Batool and Fadzil, M.H.A. and Venkatachalam, P.A.  (2007) Surface analysis of psoriasis for PASI scaliness assessment.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-57949087253&doi=10.1109%2fICIAS.2007.4658496&partnerID=40&md5=5ac44ad26f3c73b305a56676fb5e57c8
relation: 10.1109/ICIAS.2007.4658496
identifier: 10.1109/ICIAS.2007.4658496