Adaptive Mesh Expansion Model (AMEM) for Liver Segmentation from CT Image

Adaptive Mesh Expansion Model (AMEM) for Liver Segmentation from CT Image

This study proposes a novel adaptive mesh expansion model (AMEM) for liver segmentation from computed tomography images. The virtual deformable simplex model (DSM) is introduced to represent the mesh, in which the motion of each vertex can be easily manipulated. The balloon, edge, and gradient force...

Full description

Bibliographic Details
Main Authors: Wang, Xuehu, Yang, Jian, Ai, Danni, Zheng, Yongchang, Tang, Songyuan, Wang, Yongtian
Format: Online
Language:English
Published: Public Library of Science 2015
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4358832/

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4358832/

Similar Items