Thickened 2D Networks for 3D Medical Image Segmentation
arXiv: Computer Vision and Pattern Recognition, 2019.
There has been a debate in medical image segmentation on whether to use 2D or 3D networks, where both pipelines have advantages and disadvantages. This paper presents a novel approach which thickens the input of a 2D network, so that the model is expected to enjoy both the stability and efficiency of 2D networks as well as the ability of ...More
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