38 citations · 55 across the 7 of their papers we have counts for
4 papers · 1 filter
Joint Class-Affinity Loss Correction for Robust Medical Image Segmentation with Noisy Labels
Xiaoqing Guo, Yixuan Yuan
Noisy labels collected with limited annotation cost prevent medical image segmentation algorithms from learning precise semantic correlations. Previous segmentation arts of learnin…
MetaCorrection: Domain-aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation
Xiaoqing Guo, Chen Yang, Baopu Li +1
Unsupervised domain adaptation (UDA) aims to transfer the knowledge from the labeled source domain to the unlabeled target domain. Existing self-training based UDA approaches assig…
Complementary Network with Adaptive Receptive Fields for Melanoma Segmentation
Xiaoqing Guo, Zhen Chen, Yixuan Yuan
Automatic melanoma segmentation in dermoscopic images is essential in computer-aided diagnosis of skin cancer. Existing methods may suffer from the hole and shrink problems with li…
Unsupervised End-to-end Learning for Deformable Medical Image Registration
Siyuan Shan, Wen Yan, Xiaoqing Guo +3
We propose a registration algorithm for 2D CT/MRI medical images with a new unsupervised end-to-end strategy using convolutional neural networks. The contributions of our algorithm…