9 citations · 22 across the 6 of their papers we have counts for
6 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…
Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation
Yichi Zhang, Rushi Jiao, Qingcheng Liao +2
Medical image segmentation is a fundamental and critical step in many clinical approaches. Semi-supervised learning has been widely applied to medical image segmentation tasks sinc…
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…
Bridging 2D and 3D Segmentation Networks for Computation Efficient Volumetric Medical Image Segmentation: An Empirical Study of 2.5D Solutions
Yichi Zhang, Qingcheng Liao, Le Ding +1
Recently, deep convolutional neural networks have achieved great success for medical image segmentation. However, unlike segmentation of natural images, most medical images such as…