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Found 3 papers, 3 papers with code
DLUNet: Semi-supervised Learning based Dual-Light UNet for Multi-organ Segmentation
In the training phase, it consists of two light UNets, which make full use of label and unlabeled data simultaneously by using consistent-based learning.
Multi-View Imputation and Cross-Attention Network Based on Incomplete Longitudinal and Multimodal Data for Conversion Prediction of Mild Cognitive Impairment
To address these challenges, a multi-view imputation and cross-attention network (MCNet) was proposed to integrate data imputation and MCI conversion prediction in a unified framework.
Semi-Supervised Hybrid Spine Network for Segmentation of Spine MR Images
In the first stage, we constructed a 2D semi-supervised DeepLabv3+ by using cross pseudo supervision to obtain intra-slice features and coarse segmentation.
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