2022
MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation
IJCAI 2022poster
The nature of thick-slice scanning causes severe inter-slice discontinuities of 3D medical images, and the vanilla 2D/3D convolutional neural networks (CNNs) fail to represent sparse inter-slice information and dense intra-slice information in a balanced way, leading to severe underfitting to inter-…