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MICCAI
2009
Springer

Depth Data Improves Skin Lesion Segmentation

10 years 6 months ago
Depth Data Improves Skin Lesion Segmentation
This paper shows that adding 3D depth information to RGB colour images improves segmentation of pigmented and non-pigmented skin lesion. A regionbased 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.
Xiang Li, Ben Aldridge, Lucia Ballerini, Robert B.
Added 06 Nov 2009
Updated 15 Nov 2009
Type Conference
Year 2009
Where MICCAI
Authors Xiang Li, Ben Aldridge, Lucia Ballerini, Robert B. Fisher, Jonathan Rees
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