In this paper, we propose a novel Sparse Shape Composition model (SSC) to address the aformentioned challenges in a unified framework. Given a shape repository�...
In this paper we propose a novel Sparse Shape Composition model (SSC) to deal with these three challenges in a unified framework. In our method, a sparse set of�...
In this paper we propose a novel Sparse Shape Composition model (SSC) to address these three challenges in a unified framework. With our method, a sparse set of�...
An extension of recently proposed Spare Shape Composition model (SSC) for multi-shape prior modeling, where multiple shapes of one patient are regarded as a�...
In this paper we propose a novel Sparse Shape Composition model (SSC) to deal with these three challenges in a unified framework. In our method, a sparse set of�...
In this paper we propose a novel Sparse Shape Composition model (SSC) to deal with these three challenges in a unified framework. In our method, a sparse set of�...
In this paper we propose a novel Sparse Shape Composition model (SSC) to deal with these three challenges in a unified framework. In our method, training shapes�...
Organ shape plays an important role in various clinical practices, eg, diagnosis, surgical planning and treatment evaluation. It is usually derived from low�...
The proposed segmentation framework improves the robustness of the LDLT surgery planning system remarkably when dealing with complex clinical liver shapes.
In this paper we propose a novel Sparse Shape Composition model (SSC) to deal with these three challenges in a unified framework. In our method, training shapes�...