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- W3173859563 abstract "Skin lesions are an important health issue. Various techniques are applied to segment the skin lesion area from images. This chapter presents a skin lesion segmentation approach based on the elitist-Jaya optimization algorithm. The proposed method consists of two stages: image preprocessing and edge detection. The experimental sample consists of a set of 320 images from the skin lesion dataset. Three performance metrics are applied, namely accuracy, precision, and recall, to evaluate the execution of the segmentation approach, and the computation time. The outcomes proved that the proposed approach improved the segmentation accuracy of the affected skin lesion area and outperformed the compared methods." @default.
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- W3173859563 date "2021-01-01" @default.
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- W3173859563 title "Edge detection-based segmentation for detecting skin lesions" @default.
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- W3173859563 doi "https://doi.org/10.1016/b978-0-12-821777-1.00008-2" @default.
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