eprintid: 3742
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/37/42
datestamp: 2023-11-09 15:52:00
lastmod: 2023-11-09 15:52:00
status_changed: 2023-11-09 15:47:31
type: article
metadata_visibility: show
creators_name: Nugroho, H.
creators_name: Ahmad Fadzil, M.H.
creators_name: Shamsudin, N.
creators_name: Hussein, S.H.
title: Computerised image analysis of vitiligo lesion: Evaluation using manually defined lesion areas
ispublished: pub
keywords: Digital image analysis; Melanin; Performance evaluation; Region growing; Vitiligo, Image segmentation; Independent component analysis, Image analysis, melanin, article; clinical article; clinical assessment; computer analysis; human; image analysis; image processing; imaging system; observational study; physician global assessment; sensitivity and specificity; treatment outcome; vitiligo, Algorithms; Databases, Factual; Dermoscopy; Epidermis; Humans; Image Processing, Computer-Assisted; Melanins; Melanocytes; Sensitivity and Specificity; Skin Pigmentation; Vitiligo
note: cited By 17
abstract: Vitiligo is a cutaneous pigmentary disorder characterized by depigmented macules and patches that result from loss of epidermal melanocytes. Physician evaluates the efficacy of treatment by comparing the extent of vitiligo lesions before and after treatment based on the overall visual impression of the treatment response. This method is called the physician's global assessment (PGA) which is subjective. In this article, we present an innovative digital image processing method to determine vitiligo lesion area in an objective manner. Method: The digital method uses Independent Component Analysis (ICA) to generate melanin-based images representing skin areas due to melanin followed by Region Growing process to segment vitiligo lesion from normal skin. Results: Based on 41 digital images of vitiligo lesions taken from 18 patients, the proposed method achieved sensitivities of 0.9105 ± 0.0161, specificities of 0.9973 ± 0.0009 and accuracies of 0.9901 ± 0.0028 at 95 confidence level. Conclusion: With the proposed method, physicians are able to assess vitiligo treatment efficacies objectively. © 2011 John Wiley & Sons A/S.
date: 2013
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84872127823&doi=10.1111%2fj.1600-0846.2011.00610.x&partnerID=40&md5=348c55dc6031d8bd17019960f777e143
id_number: 10.1111/j.1600-0846.2011.00610.x
full_text_status: none
publication: Skin Research and Technology
volume: 19
number: 1
pagerange: e72-e77
refereed: TRUE
issn: 0909752X
citation:   Nugroho, H. and Ahmad Fadzil, M.H. and Shamsudin, N. and Hussein, S.H.  (2013) Computerised image analysis of vitiligo lesion: Evaluation using manually defined lesion areas.  Skin Research and Technology, 19 (1).  e72-e77.  ISSN 0909752X