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

Abstract: 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.