62 citations · 65 across the 6 of their papers we have counts for
6 papers
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…
Tailored Multi-Organ Segmentation with Model Adaptation and Ensemble
Jiahua Dong, Guohua Cheng, Yue Zhang +5
Multi-organ segmentation, which identifies and separates different organs in medical images, is a fundamental task in medical image analysis. Recently, the immense success of deep…
Unified Multi-Modal Image Synthesis for Missing Modality Imputation
Yue Zhang, Chengtao Peng, Qiuli Wang +3
Multi-modal medical images provide complementary soft-tissue characteristics that aid in the screening and diagnosis of diseases. However, limited scanning time, image corruption a…
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…