Cavalcanti Pablo G, Scharcanski Jacob, Di Persia Leandro E, Milone Diego H
Instituto de Informática, Universidade Federal do Rio Grande do Sul Avenida Bento Goncalves, RS 91501-970, Brazil.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:5993-6. doi: 10.1109/IEMBS.2011.6091481.
Segmentation is an important step in computer-aided diagnostic systems for pigmented skin lesions, since that a good definition of the lesion area and its boundary at the image is very important to distinguish benign from malignant cases. In this paper a new skin lesion segmentation method is proposed. This method uses Independent Component Analysis to locate skin lesions in the image, and this location information is further refined by a Level-set segmentation method. Our method was evaluated in 141 images and achieved an average segmentation error of 16.55%, lower than the results for comparable state-of-the-art methods proposed in literature.
分割是色素性皮肤病变计算机辅助诊断系统中的一个重要步骤，因为在图像中对病变区域及其边界进行良好定义对于区分良性和恶性病例非常重要。本文提出了一种新的皮肤病变分割方法。该方法使用独立成分分析在图像中定位皮肤病变，并且该位置信息通过水平集分割方法进一步细化。我们的方法在141幅图像上进行了评估，平均分割误差为16.55%，低于文献中提出的可比的最新方法的结果。
