591 citations
- Chang Gung Memorial HospitalTW10 papers
- Shenzhen Technology UniversityCN9 papers
- National Institutes of Health Clinical CenterUS8 papers
- Linkou Chang Gung Memorial HospitalTW6 papers
- National Institutes of HealthUS6 papers
- Beijing University of Posts and TelecommunicationsCN5 papers
- Huazhong University of Science and TechnologyCN5 papers
- University of Science and Technology of ChinaCN5 papers
- Beijing Institute of TechnologyCN4 papers
- Alibaba Group (China)CN3 papers
- Johns Hopkins UniversityUS3 papers
- New York Life Insurance Company (United States)US3 papers
4 papers · 1 filter
Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs
Yuxing Tang, Xiaosong Wang, Adam P. Harrison +3
In this work, we exploit the task of joint classification and weakly supervised localization of thoracic diseases from chest radiographs, with only image-level disease labels coupl…
CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement
Youbao Tang, Jinzheng Cai, Le Lu +5
Automated lesion segmentation from computed tomography (CT) is an important and challenging task in medical image analysis. While many advancements have been made, there is room fo…
Accurate Weakly-Supervised Deep Lesion Segmentation using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST
Jinzheng Cai, Youbao Tang, Le Lu +5
Volumetric lesion segmentation from computed tomography (CT) images is a powerful means to precisely assess multiple time-point lesion/tumor changes. However, because manual 3D seg…
Semi-Automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks
Youbao Tang, Adam P. Harrison, Mohammadhadi Bagheri +2
Response evaluation criteria in solid tumors (RECIST) is the standard measurement for tumor extent to evaluate treatment responses in cancer patients. As such, RECIST annotations m…