Impact of various color LED flashlights and different lighting source to skin distances on the manual and the computer‐aided detection of basal cell carcinoma borders. Issue 1 (19th July 2013)

• Record Type: Journal Article
• Authors: Bakht, Mohamadreza K.; Pouladian, Majid; Mofrad, Farshid B.; Honarpisheh, Hamid
• Is Part Of: Skin research and technology. Volume 20:Issue 1(2014)
• Page Start: 92
• Page End: 96
• Publication Date: 2013-07-19
• Subjects: Skin -- Research -- Periodicals; Skin -- Diseases -- Periodicals; Skin -- Physiology -- Periodicals; 616.5
• DOI: 10.1111/srt.12090
• Languages: English
• ISSNs: 0909-752X

Abstract

<abstract abstract-type="main" id="srt12090-abs-0001"> <title> <x xml:space="preserve">Abstract</x> </title> <sec id="srt12090-sec-0001" sec-type="section"> <title>Background/aims</title> <p>Quantitative analysis based on digital skin image has been proven to be helpful in dermatology. Moreover, the borders of the basal cell carcinoma (BCC) lesions have been challenging borders for the automatic detection methods. In this work, a computer‐aided dermatoscopy system was proposed to enhance the clinical detection of BCC lesion borders.</p> </sec> <sec id="srt12090-sec-0002" sec-type="section"> <title>Methods</title> <p>Fifty cases of BCC were selected and 2000 pictures were taken. The lesion images data were obtained with eight colors of flashlights and in five different lighting source to skin distances (SSDs). Then, the image‐processing techniques were used for automatic detection of lesion borders. Further, the dermatologists marked the lesions on the obtained photos.</p> </sec> <sec id="srt12090-sec-0003" sec-type="section"> <title>Results</title> <p>Considerable differences between the obtained values referring to the photographs that were taken at super blue and aqua green color lighting were observed for most of the BCC borders. It was observed that by changing the SSD, an optimum distance could be found where that the accuracy of the detection reaches to a maximum value.</p> </sec> <sec id="srt12090-sec-0004" sec-type="section"> <title>Conclusion</title> <p>This study clearly indicates that by changing SSD and lighting color, manual and automatic detection of BCC lesions borders can be enhanced.</p> </sec> </abstract>