Reinventing 2D Convolutions for 3D Images

24 Nov 2019Jiancheng YangXiaoyang HuangBingbing NiJingwei XuCanqian YangGuozheng Xu

There have been considerable debates over 2D and 3D representation learning on 3D medical images. 2D approaches could benefit from large-scale 2D pretraining, whereas they are generally weak in capturing large 3D contexts... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.