27 citations
- Ritsumeikan UniversityJP2 papers
- Zhejiang UniversityCN2 papers
- Zhejiang University of Science and TechnologyCN2 papers
- Chinese University of Hong KongHK1 paper
- Group Sense (China)CN1 paper
- Hangzhou Dianzi UniversityCN1 paper
- Tsinghua UniversityCN1 paper
- University of Science and Technology of ChinaCN1 paper
- Zhejiang LabCN1 paper
4 papers
Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting
Yue Zhang, Chengtao Peng, Liying Peng +8
Multi-phase computed tomography (CT) images provide crucial complementary information for accurate liver tumor segmentation (LiTS). State-of-the-art multi-phase LiTS methods usuall…
Learning Efficient, Explainable and Discriminative Representations for Pulmonary Nodules Classification
Hanliang Jiang, Fuhao Shen, Fei Gao +1
Automatic pulmonary nodules classification is significant for early diagnosis of lung cancers. Recently, deep learning techniques have enabled remarkable progress in this field. Ho…
UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation
Huimin Huang, Lanfen Lin, Ruofeng Tong +6
Recently, a growing interest has been seen in deep learning-based semantic segmentation. UNet, which is one of deep learning networks with an encoder-decoder architecture, is widel…
Zoom-in-Net: Deep Mining Lesions for Diabetic Retinopathy Detection
Zhe Wang, Yanxin Yin, Jianping Shi +3
We propose a convolution neural network based algorithm for simultaneously diagnosing diabetic retinopathy and highlighting suspicious regions. Our contributions are two folds: 1)…