说明：  基于Snake模型的图像分割技术是近年来图像处理领域的研究热点之一。Snake模型承载上层先验知识并融合 了图像的底层特征，针对医学图像的特殊性，能有效地应用于医学图像的分割中。本文对各种基于Snake模型的改进算法和 进化模型进行了研究，并重点梳理了最新的研究成果，以利于把握基于Snake模型的医学图像分割方法的脉络和发展方向。。
(Snake model based image segmentation image processing technology in recent years one of the hot areas of research. Snake model and the integration of prior knowledge of the upper bearing the image of the underlying characteristics of the special nature of medical image can be effectively applied to medical image segmentation. In this paper, a variety of improved algorithm based on Snake Model and evolutionary models were studied and focused on combing the latest research results, to facilitate the grasp of Snake Models Based on Medical Image Segmentation context and development. .)