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 segmentation results for pigmented lesions close to dermatologists and more consistent and accurate results for non-pigmented lesions.
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© 2009 Springer-Verlag Berlin Heidelberg
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Li, X., Aldridge, B., Ballerini, L., Fisher, R., Rees, J. (2009). Depth Data Improves Skin Lesion Segmentation. In: Yang, GZ., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009. MICCAI 2009. Lecture Notes in Computer Science, vol 5762. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04271-3_133
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DOI: https://doi.org/10.1007/978-3-642-04271-3_133
Publisher Name: Springer, Berlin, Heidelberg
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