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Title:Depth Data Improves Skin Lesion Segmentation
Authors: Xiang Li ; ; Robert Fisher ; Ben Aldridge ; Jonathan Rees
Date: 2009
Publication Title:Medical Image Computing and Computer Assisted Intervention Conference
Publication Type:Conference Paper Publication Status:Pre-print
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 seg- mentation results for pigmented lesions close to dermatologists and more consis- tent and accurate results for non-pigmented lesions.
2009 by The University of Edinburgh. All Rights Reserved
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Bibtex format
author = { Xiang Li and and Robert Fisher and Ben Aldridge and Jonathan Rees },
title = {Depth Data Improves Skin Lesion Segmentation},
book title = {Medical Image Computing and Computer Assisted Intervention Conference},
year = 2009,

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