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12 March 2010A multi-scale approach to mass segmentation using active contour models

Hongwei Yu, Lihua Li, Weidong Xu, Wei Liu

Hongwei Yu,¹ Lihua Li,¹ Weidong Xu,¹ Wei Liu¹

¹Hangzhou Dianzi Univ. (China)

Proceedings Volume 7623, Medical Imaging 2010: Image Processing; 762343 (2010)https://doi.org/10.1117/12.844284
Event:SPIE Medical Imaging, 2010, San Diego, California, United States

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Abstract

As an important step of mass classification, mass segmentation plays an important role in computer-aided diagnosis(CAD). In this paper, we propose a novel scheme for breast mass segmentation in mammograms, which is based on levelset method and multi-scale analysis. Mammogram is firstly decomposed by Gaussian pyramid into a sequence of imagesfrom fine to coarse, the C-V model is then applied at the coarse scale, and the obtained rough contour is used as theinitial contour for segmentation at the fine scale. A local active contour (LAC) model based on image local informationis utilized to refine the rough contour locally at the fine scale. In addition, the feature of area and gray level extractedfrom coarse segmentation is used to set the parameters of LAC model automatically to improve the adaptivity of ourmethod. The results show the higher accuracy and robustness of the proposed multi-scale segmentation method than the conventional ones.

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Hongwei Yu,Lihua Li,Weidong Xu, andWei Liu"A multi-scale approach to mass segmentation using active contour models", Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 762343 (12 March 2010);https://doi.org/10.1117/12.844284

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