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- W4292388181 abstract "Skin lesions would be diagnosed as one of the most health - threaten issues in the era of cancer. Computer-aided diagnostic (CAD) systems use, analyze, and extract lesion traits in order to help physicians in the process of classifying its type and predicting severity rate. In this paper, a modified active contour (AC) segmentation has been proposed based on a cosine objective function. This modification has been manipulated with respect to snake force, curvature, and an appropriate Heaviside function. Experimental findings show that the proposed method indicates a segmentation accuracy of 97.13%, a sensitivity of 67.8%, specificity of 99.1%, dice coefficient (DC) of 66.3%, and Jaccard coefficient (JAC) of 50.24%." @default.
- W4292388181 created "2022-08-20" @default.
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- W4292388181 date "2022-07-26" @default.
- W4292388181 modified "2023-10-18" @default.
- W4292388181 title "High Performed Skin Lesion Segmentation Based on Modified Active Contour" @default.
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- W4292388181 doi "https://doi.org/10.1109/itc-egypt55520.2022.9855766" @default.
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