Depth data improves skin lesion segmentation

Xiang Li, Ben Aldridge, Lucia Ballerini, Robert Fisher, Jonathan Rees
Medical Image Computing and Computer-assisted Intervention: MICCAI .. 2009, 12: 1100-7
This paper shows that adding 3D depth information to RGB colour images improves segmentation of pigmented and non-pigmented skin lesion. A region-based active contour segmentation approach using a statistical model based on the level-set framework is presented. We consider what kinds of properties (e.g., colour, depth, texture) are most discriminative. The experiments show that our proposed method integrating chromatic and geometric information produces segmentation results for pigmented lesions close to dermatologists and more consistent and accurate results for non-pigmented lesions.

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