We address the problem of segmenting 3D scan data into objects or object classes. Our segmentation framework is based on a subclass of Markov Random Fields (MRFs) which support ef...
Dragomir Anguelov, Benjamin Taskar, Vassil Chatalb...
In this paper we propose a new framework to simultaneously segment and register lung and tumor in serial CT data. Our method assumes nonrigid transformation on lung deformation an...
Yuanjie Zheng, Karl Steiner, Thomas Bauer, Jingyi ...
In this paper, we propose to address the semanticoriented 3D mesh hierarchical segmentation problem, using enhanced topological skeletons [18]. This high level information drives ...
Segmentation is a fundamental problem in medical image analysis. The use of prior knowledge is often considered to address the ill-posedness of the process. Such a process consists...
Abstract In this paper, we present a segmentation algorithm which partitions a mesh based on the premise that a 3D object consists of a core body and its constituent protrusible pa...
Alexander Agathos, Ioannis Pratikakis, Stavros J. ...