1 citations · 1 across the 2 of their papers we have counts for
4 papers
Parallel Network with Channel Attention and Post-Processing for Carotid Arteries Vulnerable Plaque Segmentation in Ultrasound Images
Yanchao Yuan, Cancheng Li, Lu Xu +3
Carotid arteries vulnerable plaques are a crucial factor in the screening of atherosclerosis by ultrasound technique. However, the plaques are contaminated by various noises such a…
Parameter Decoupling Strategy for Semi-supervised 3D Left Atrium Segmentation
Xuanting Hao, Shengbo Gao, Lijie Sheng +1
Consistency training has proven to be an advanced semi-supervised framework and achieved promising results in medical image segmentation tasks through enforcing an invariance of th…
Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation
Yichi Zhang, Jicong Zhang
The success of deep learning methods in medical image segmentation tasks usually requires a large amount of labeled data. However, obtaining reliable annotations is expensive and t…
Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation
Yichi Zhang, Qingcheng Liao, Lin Yuan +3
The novel Coronavirus disease (COVID-19) is a highly contagious virus and has spread all over the world, posing an extremely serious threat to all countries. Automatic lung infecti…