Skin lesion image segmentation using Delaunay Triangulation for melanoma detection
Abstract
Developing automatic diagnostic tools for the early detection of skin cancer lesions in dermoscopic images can help to reduce melanoma-induced mortality. Image segmentation is a key step in the automated skin lesion diagnosis pipeline. In this paper, a fast and fully-automatic algorithm for skin lesion segmentation in dermoscopic images is presented. Delaunay Triangulation is used to extract a binary mask of the lesion region, without the need...
Paper Details
Title
Skin lesion image segmentation using Delaunay Triangulation for melanoma detection
Published Date
May 8, 2016
Volume
52
Pages
89 - 103
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