Automatic Medical Image Segmentation Based on Adaptive Region

In order to decrease the dependency of the conventional segmentation algorithms on initial conditions,a medical image segmentation framework based on an adaptive region is presented. The framework integrates the segmentation and object detection techniques into a pipeline,and the local region of objects in the slice to be segmented is determined according to the detection results of the segmented slice. Based on this region,the threshold and geometric shape parameters can be obtained and used to the successive segmentation. This framework has been applied to region growing and threshold-based level set algorithms to segment lots of slice images. The experimental results show that the proposed framework can effectively decrease manual interaction,and well handle the complicated bifurcations of objects.