3 papers
eess.IV2022
DLUNet: Semi-supervised Learning based Dual-Light UNet for Multi-organ Segmentation
Haoran Lai, Tao Wang, Shuoling Zhou
The manual ground truth of abdominal multi-organ is labor-intensive. In order to make full use of CT data, we developed a semi-supervised learning based dual-light UNet. In the tra…
eess.IV2022
Multi-View Imputation and Cross-Attention Network Based on Incomplete Longitudinal and Multimodal Data for Conversion Prediction of Mild Cognitive Impairment
Tao Wang, Xiumei Chen, Xiaoling Zhang +3
Predicting whether subjects with mild cognitive impairment (MCI) will convert to Alzheimer's disease is a significant clinical challenge. Longitudinal variations and complementary…
eess.IV2022
Semi-Supervised Hybrid Spine Network for Segmentation of Spine MR Images
Meiyan Huang, Shuoling Zhou, Xiumei Chen +2
Automatic segmentation of vertebral bodies (VBs) and intervertebral discs (IVDs) in 3D magnetic resonance (MR) images is vital in diagnosing and treating spinal diseases. However,…