6 citations · 10 across the 9 of their papers we have counts for
7 papers · 1 filter
Faithful learning with sure data for lung nodule diagnosis
Hanxiao Zhang, Liang Chen, Xiao Gu +6
Recent evolution in deep learning has proven its value for CT-based lung nodule classification. Most current techniques are intrinsically black-box systems, suffering from two gene…
LTSP: Long-Term Slice Propagation for Accurate Airway Segmentation
Yangqian Wu, Minghui Zhang, Weihao Yu +3
Purpose: Bronchoscopic intervention is a widely-used clinical technique for pulmonary diseases, which requires an accurate and topological complete airway map for its localization…
FDA: Feature Decomposition and Aggregation for Robust Airway Segmentation
Minghui Zhang, Xin Yu, Hanxiao Zhang +5
3D Convolutional Neural Networks (CNNs) have been widely adopted for airway segmentation. The performance of 3D CNNs is greatly influenced by the dataset while the public airway da…
Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT
Yulei Qin, Hao Zheng, Yun Gu +6
Training convolutional neural networks (CNNs) for segmentation of pulmonary airway, artery, and vein is challenging due to sparse supervisory signals caused by the severe class imb…
Alleviating Class-wise Gradient Imbalance for Pulmonary Airway Segmentation
Hao Zheng, Yulei Qin, Yun Gu +4
Automated airway segmentation is a prerequisite for pre-operative diagnosis and intra-operative navigation for pulmonary intervention. Due to the small size and scattered spatial d…
Stereo Endoscopic Image Super-Resolution Using Disparity-Constrained Parallel Attention
Tianyi Zhang, Yun Gu, Xiaolin Huang +2
With the popularity of stereo cameras in computer assisted surgery techniques, a second viewpoint would provide additional information in surgery. However, how to effectively acces…