Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Quantitative color assessment of dermoscopy images using perceptible color regions

Authors
Lee, GunwooLee, OnseokPark, SunupMoon, JongsubOh, Chilhwan
Issue Date
11월-2012
Publisher
WILEY-BLACKWELL
Keywords
color assessment; dermoscopy; lesion extraction; malignant melanoma; pigmented lesion
Citation
SKIN RESEARCH AND TECHNOLOGY, v.18, no.4, pp.462 - 470
Indexed
SCIE
SCOPUS
Journal Title
SKIN RESEARCH AND TECHNOLOGY
Volume
18
Number
4
Start Page
462
End Page
470
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/107076
DOI
10.1111/j.1600-0846.2011.00594.x
ISSN
0909-752X
Abstract
Background Dermoscopy is a non-invasive in vivo skin imaging technique that assists dermatologists in diagnosing melanoma. However, the use of dermoscopy for diagnosis requires extensive training since this approach often provides extremely complex and subjective information. The presence of an imperceptible color difference in dermoscopy images is one of the serious problems associated with the use of this technique. This imperceptible color difference leads to inaccurate lesion extraction at the borders and hinders the assessment of lesion features. Therefore, objective and quantitative assessment based on perceptible color differences is important for the diagnosis of melanoma using dermoscopy. Methods In this study, we developed a method for assessing colors in a lesion. Twenty-seven perceptible color regions based on the multi-thresholding method in each color channel were constructed, and dominant color region (DCR), bluish dominant region (BDR), and the number of colors were assessed as three diagnostic parameters from these perceptible color regions on 150 dermoscopy images. Results/Conclusion Diagnostic accuracy was calculated by combination of three diagnostic parameters derived from DCR, BDR, and the number of colors. Diagnostic accuracy with 73.33% sensitivity and 90.67% specificity was obtained in case of positive features in more than two parameters.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Science and Technology > Department of Electronics and Information Engineering > 1. Journal Articles
College of Medicine > Department of Medical Science > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE