26 citations · 53 across the 28 of their papers we have counts for
5 papers · 1 filter
Differentiable Topology-Preserved Distance Transform for Pulmonary Airway Segmentation
Minghui Zhang, Guang-Zhong Yang, Yun Gu
Detailed pulmonary airway segmentation is a clinically important task for endobronchial intervention and treatment of peripheral located lung cancer lesions. Convolutional Neural N…
Re-thinking and Re-labeling LIDC-IDRI for Robust Pulmonary Cancer Prediction
Hanxiao Zhang, Xiao Gu, Minghui Zhang +6
The LIDC-IDRI database is the most popular benchmark for lung cancer prediction. However, with subjective assessment from radiologists, nodules in LIDC may have entirely different…
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…