Glass-cutting medical images via a mechanical image segmentation method based on crack propagation.

ABSTRACT: Medical image segmentation is crucial in diagnosing and treating diseases, but automatic segmentation of complex images is very challenging. Here we present a method, called the crack propagation method (CPM), based on the principles of fracture mechanics. This unique method converts the image segmentation problem into a mechanical one, extracting the boundary information of the target area by tracing the crack propagation on a thin plate with grooves corresponding to the area edge. The greatest advantage of CPM is in segmenting images involving blurred or even discontinuous boundaries, a task difficult to achieve by existing auto-segmentation methods. The segmentation results for synthesized images and real medical images show that CPM has high accuracy in segmenting complex boundaries. W

SUBMITTER: Huang Y 

PROVIDER: S-EPMC7652839 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature