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http://dx.doi.org/10.9718/JBER.2015.36.1.22

Pre-Processing for Determining Acral Lentiginous Melanoma(ALM)  

Ham, S.W. (Department of Electronics Engineering, College of Engineering, Ewha Womans University)
Oho, B.H. (Department of Skin Biology Laboratory and Skin Medicine, College of Medicine, Yonsei University)
Yang, S.J. (Ewha Institute of Convergence Medicine, Ewha Womans University Medical Center)
Publication Information
Journal of Biomedical Engineering Research / v.36, no.1, 2015 , pp. 22-30 More about this Journal
Abstract
Melanoma is originated from the melanocyte producing the melanin which determines the complexion, and it has the highest mortality among skin cancers. Acral lentiginous melanoma(ALM) arises from extremities such as hands, feet or fingernails. Since the appearance of ALM is different from melanoma on the body, conventional auto diagnosis systems for melanoma is inappropriate to detect ALM. Therefore, ALM is typically difficult to distinguish from general nevus, resulting in delayed diagnosis and bad prognosis. In this paper, we firstly introduce a determination method for ALM by dermatologists and propose a method to rotate dermoscopic images automatically as a pre-processing for facilitating the easy determination of ALM and to select the optimal value of the Gaussian differentiation filter parameter which is significant for precise pattern extraction using the scale space analysis. From experimental results, it is shown that there exists the consistency between empirical values of the Gaussian differential filter parameter and optimal values derived from the scale space analysis to distinguish nevus and ALM.
Keywords
acral lentiginous melanoma(ALM); dermoscopy; scale space; Gaussian differential filter;
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