Contour Correction Liver Cancer CT Image Segmentation Method Based on Snake Model

To segment CT (computed tomography) images of liver cancer effectively, a new method based on Snake model was proposed. Image segmentation based on threshold was combined with image segmentation based on Snake model, and a contour correction process was added. This method obtains a better result on liver cancer CT images segmentation, overcomes the defect that traditional Snake model can not segment the images with serious depressions. The results of the experiment demonstrate that this algorithm is an effective method for segmenting the liver cancer image.