Development of new descriptor for melanoma detection on dermoscopic images
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Date
2020
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Heidelberg
Access Rights
info:eu-repo/semantics/closedAccess
Abstract
Early detection of melanoma has critical importance for the success of the treatment. However, a successful early diagnosis is only possible with the existence of discriminative features. In this study, a new descriptor based on the number of colors was developed in order to successfully diagnose lesions of melanoma. The number of colors is the main feature in the identification of melanoma-type skin lesions. The user must select a threshold value when calculating the number of colors of the lesion. The incorrect threshold value selection of non-expert users disrupts the aforementioned feature and also leads to significant diagnostic errors. In this study, it was revealed that color counting threshold values have a significant effect on the distinctiveness of the number of colors. In the three dermoscopic databases, color counting threshold values that provide the maximum distinctiveness on melanoma and benign lesions were determined as 0 and 0.123 respectively. By using these color counting threshold values, the number of colors for each sample in the data sets was calculated separately. Following that, a novel attribute called the number of color difference was defined as a function of color counting threshold values. Experiments using only the proposed new descriptor yielded 52.7% higherf-measure and 84.5% higher true-positive performance than the number of colors used in the literature. The results obtained in this study revealed the importance of accurately determining the number of colors the lesions had and states that the applied color counting threshold significantly influences the classification results. Thereby, a new method is proposed for determining the critical color counting threshold. We claim that the classical ABCD rule should be improved by our new descriptor.
Description
Keywords
Melanoma, Number of colors, Threshold method, ABCD rule, Skin-Lesions, Segmentation, Frequency, Diagnosis
Journal or Series
Medical & Biological Engineering & Computing
WoS Q Value
Q2
Scopus Q Value
Q2
Volume
58
Issue
11
