55 citations · 270 across the 30 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.CV2020★ 1 cited
Superpixel-Guided Label Softening for Medical Image Segmentation
Hang Li, Dong Wei, Shilei Cao +3
Segmentation of objects of interest is one of the central tasks in medical image analysis, which is indispensable for quantitative analysis. When developing machine-learning based…
cs.CV2020★ 1 cited
Learning and Exploiting Interclass Visual Correlations for Medical Image Classification
Dong Wei, Shilei Cao, Kai Ma +1
Deep neural network-based medical image classifications often use "hard" labels for training, where the probability of the correct category is 1 and those of others are 0. However,…
cs.CV2020★ 5 cited
LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence for One-shot Medical Image Segmentation
Shuxin Wang, Shilei Cao, Dong Wei +5
We introduce a one-shot segmentation method to alleviate the burden of manual annotation for medical images. The main idea is to treat one-shot segmentation as a classical atlas-ba…