Skin lesion segmentation using an improved snake model

Huiyu Zhou, Gerald Schaefer, M Celebi, Hitoshi Iyatomi, Kerri-Ann Norton, Tangwei Liu, Faquan Lin
Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2010, 2010: 1974-7
Accurate identification of lesion borders is an important task in the analysis of dermoscopy images since the extraction of skin lesion borders provides important cues for accurate diagnosis. Snakes have been used for segmenting a variety of medical imagery including dermoscopy, however, due to the compromise of internal and external energy forces they can lead to under- or over-segmentation problems. In this paper, we introduce a mean shift based gradient vector flow (GVF) snake algorithm that drives the internal/external energies towards the correct direction. The proposed segmentation method incorporates a mean shift operation within the standard GVF cost function. Experimental results on a large set of diverse dermoscopy images demonstrate that the presented method accurately determines skin lesion borders in dermoscopy images.

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