Retroperitoneal space organ segmentation from ct images based on the level set function
R. V. Eruslanov, M. Orehova, V. Dubrovin · Computer Optics · 2015
This article presents a method for solving a problem of segmentation of the retroperitoneal space organs from tomographic images. The method relies on the level set function. We also discuss a method of image preprocessing based on a nonlinear anisotropic diffusion filter, which operates by smoothing the image, while maintaining boundaries between the segments. A tomographic-image segmentation algorithm based on the level set function is synthesized.