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...

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Bibliographic Details
Main Authors: Xuehu Wang, Jian Yang, Danni Ai, Yongchang Zheng, Songyuan Tang, Yongtian Wang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4358832?pdf=render