62 citations · 65 across the 6 of their papers we have counts for
4 papers · 1 filter
Uncertainty-Gated Deformable Network for Breast Tumor Segmentation in MR Images
Yue Zhang, Jiahua Dong, Chengtao Peng +3
Accurate segmentation of breast tumors in magnetic resonance images (MRI) is essential for breast cancer diagnosis, yet existing methods face challenges in capturing irregular tumo…
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…
DuCN: Dual-children Network for Medical Diagnosis and Similar Case Recommendation towards COVID-19
Chengtao Peng, Yunfei Long, Senhua Zhu +2
Early detection of the coronavirus disease 2019 (COVID-19) helps to treat patients timely and increase the cure rate, thus further suppressing the spread of the disease. In this st…
W-net: Simultaneous segmentation of multi-anatomical retinal structures using a multi-task deep neural network
Hongwei Zhao, Chengtao Peng, Lei Liu +1
Segmentation of multiple anatomical structures is of great importance in medical image analysis. In this study, we proposed a -net to simultaneously segment both the o…