280 citations · 387 across the 9 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.CV2019★ 12 cited
End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation
Jinzheng Cai, Yingda Xia, Dong Yang +3
Automatic segmentation of abdomen organs using medical imaging has many potential applications in clinical workflows. Recently, the state-of-the-art performance for organ segmentat…
cs.CV2019
Thickened 2D Networks for Efficient 3D Medical Image Segmentation
Qihang Yu, Yingda Xia, Lingxi Xie +2
There has been a debate in 3D medical image segmentation on whether to use 2D or 3D networks, where both pipelines have advantages and disadvantages. 2D methods enjoy a low inferen…
cs.CV2019
An Alarm System For Segmentation Algorithm Based On Shape Model
Fengze Liu, Yingda Xia, Dong Yang +2
It is usually hard for a learning system to predict correctly on rare events that never occur in the training data, and there is no exception for segmentation algorithms. Meanwhile…