TY  - CONF
SP  - 3446
AV  - none
SN  - 05891019
N2  - Psoriasis is a skin disorder which is caused by genetic fault. There is no cure for psoriasis, however, there are many treatment modalities to help control the disease. To evaluate treatment efficacy, PASI (Psoriasis Area and Severity Index) which is the current gold standard method is used to measure psoriasis severity by evaluating the area, erythema, scaliness and thickness of the plaques. However, the calculation of PASI can be tedious and subjective. In this work, we develop a computer vision method that determines one of the PASI parameter, the lesion area. The method isolates healthy (or healed) skin areas from lesion areas by analyzing the hue and chroma information in the CIE L*a*b* colour space. Centroids of healthy skin and psoriasis in the hue-chroma space are determined from selected sample. Euclidean distance of all pixels from each centroid is calculated. Each pixel is assigned to the class with minimum Euclidean distance. The study involves patients from three different ethnic origins having different skin tones. Results obtained show that the proposed method is comparable to the dermatologist visual approach. © 2007 IEEE.
Y1  - 2007///
KW  - Computer vision; Patient monitoring; Pixels; Skin
KW  -  Chroma information; Current gold standard method; Plaques; Psoriasis; Severity Index
KW  -  Dermatology
KW  -  adult; algorithm; article; artificial intelligence; automated pattern recognition; classification; colorimetry; comparative study; computer assisted diagnosis; epiluminescence microscopy; evaluation study; female; human; image enhancement; male; methodology; psoriasis; reproducibility; sensitivity and specificity; severity of illness index
KW  -  Adult; Algorithms; Artificial Intelligence; Colorimetry; Dermoscopy; Female; Humans; Image Enhancement; Image Interpretation
KW  -  Computer-Assisted; Male; Pattern Recognition
KW  -  Automated; Psoriasis; Reproducibility of Results; Sensitivity and Specificity; Severity of Illness Index
TI  - Area assessment of psoriasis lesion for PASI scoring
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-57649167455&doi=10.1109%2fIEMBS.2007.4353072&partnerID=40&md5=9c88dd30c18c35b391f505c36c9316ba
A1  - Ihtatho, D.
A1  - Ahmad Fadzil, M.H.
A1  - Affandi, A.M.
A1  - Hussein, S.H.
N1  - cited By 30; Conference of 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 ; Conference Date: 23 August 2007 Through 26 August 2007; Conference Code:70818
ID  - scholars198
CY  - Lyon
EP  - 3449
ER  -