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- W2025459491 abstract "Accurate skin lesion segmentation is critical for automated early skin cancer detection and diagnosis. We present a novel method to detect skin lesion borders in multispectral dermoscopy images. First, hairs are detected on infrared images and removed by inpainting visible spectrum images. Second, skin lesion is pre-segmented using a clustering of a superpixel partition. Finally, the pre-segmentation is globally regularized at the superpixel level and locally regularized in a narrow band at the pixel level." @default.
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- W2025459491 date "2014-10-01" @default.
- W2025459491 modified "2023-10-17" @default.
- W2025459491 title "Graph-based skin lesion segmentation of multispectral dermoscopic images" @default.
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- W2025459491 doi "https://doi.org/10.1109/icip.2014.7025180" @default.
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