540 citations · 1.2k across the 38 of their papers we have counts for
3 papers · 1 filter
Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification
Wentao Zhu, Qi Lou, Yeeleng Scott Vang +1
Mammogram classification is directly related to computer-aided diagnosis of breast cancer. Traditional methods requires great effort to annotate the training data by costly manual…
Adversarial Deep Structural Networks for Mammographic Mass Segmentation
Wentao Zhu, Xiang Xiang, Trac D. Tran +1
Mass segmentation is an important task in mammogram analysis, providing effective morphological features and regions of interest (ROI) for mass detection and classification. Inspir…
Co-occurrence Feature Learning for Skeleton based Action Recognition using Regularized Deep LSTM Networks
Wentao Zhu, Cuiling Lan, Junliang Xing +4
Skeleton based action recognition distinguishes human actions using the trajectories of skeleton joints, which provide a very good representation for describing actions. Considerin…