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In this paper, we introduce an efficient 3D network (Ghost-Light-3DNet) for heart segmentation. Our solution is characterized by two key components: First, ...
An efficient 3D network (Ghost-Light-3DNet) for heart segmentation using 3D UNet-like architecture that achieves comparable segmentation accuracy with the ...
In this paper, we introduce an efficient 3D network (Ghost-Light-3DNet) for heart segmentation. Our solution is characterized by two key components: First, in-.
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A Tied Block 3D Convolution (TBC-3D) operator is introduced which reuses a small number of convolution filters across each channel group and achieves ...
The new concept of vessel segment and the method of analysis are proposed as a means for an accurate description of the branching characteristics of the ...
In this paper, our objective is to investigate a light convolution module to build an efficient network. Inspired by 2D Tied Block Convolution (TBC), we ...
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Erkang Cheng is a computer scientist working on computer vision and autonomous driving. He received Ph.D. from Temple University, USA, in 2014 supervised by ...
Ghost-light-3dnet: Efficient network for heart segmentation. B Cai, E Cheng, P Liang, C Xiong, Z Sun, Q Zhang, B Song. 2021 IEEE 18th international symposium ...
Cai et al. [18] introduced an efficient 3D network (Ghost-Light-3DNet) for WHS, which reduced the amount of parameters and computational overhead in the 3D ...