4 papers
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…
BREAK: Bronchi Reconstruction by gEodesic transformation And sKeleton embedding
Weihao Yu, Hao Zheng, Minghui Zhang +3
Airway segmentation is critical for virtual bronchoscopy and computer-aided pulmonary disease analysis. In recent years, convolutional neural networks (CNNs) have been widely used…
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…