36 citations · 72 across the 15 of their papers we have counts for
4 papers · 1 filter
NoduleNet: Decoupled False Positive Reductionfor Pulmonary Nodule Detection and Segmentation
Hao Tang, Chupeng Zhang, Xiaohui Xie
Pulmonary nodule detection, false positive reduction and segmentation represent three of the most common tasks in the computeraided analysis of chest CT images. Methods have been p…
Automatic Pulmonary Lobe Segmentation Using Deep Learning
Hao Tang, Chupeng Zhang, Xiaohui Xie
Pulmonary lobe segmentation is an important task for pulmonary disease related Computer Aided Diagnosis systems (CADs). Classical methods for lobe segmentation rely on successful d…
An End-to-end Framework For Integrated Pulmonary Nodule Detection and False Positive Reduction
Hao Tang, Xingwei Liu, Xiaohui Xie
Pulmonary nodule detection using low-dose Computed Tomography (CT) is often the first step in lung disease screening and diagnosis. Recently, algorithms based on deep convolutional…
Automated pulmonary nodule detection using 3D deep convolutional neural networks
Hao Tang, Daniel R. Kim, Xiaohui Xie
Early detection of pulmonary nodules in computed tomography (CT) images is essential for successful outcomes among lung cancer patients. Much attention has been given to deep convo…