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Semi-supervised Medical Image Segmentation

Papers

Showing 2650 of 144 papers

TitleStatusHype
Background Matters: A Cross-view Bidirectional Modeling Framework for Semi-supervised Medical Image SegmentationCode1
MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations with Limited LabelsCode1
A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical ImagingCode1
CauSSL: Causality-inspired Semi-supervised Learning for Medical Image SegmentationCode1
MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and RecoveryCode1
Multi-Prototype Embedding Refinement for Semi-Supervised Medical Image SegmentationCode1
Correlation-Aware Mutual Learning for Semi-supervised Medical Image SegmentationCode1
ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical ContrastCode1
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image SegmentationCode1
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image SegmentationCode1
Alternate Diverse Teaching for Semi-supervised Medical Image SegmentationCode1
Cross-head mutual Mean-Teaching for semi-supervised medical image segmentationCode1
Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image SegmentationCode1
CrossMatch: Enhance Semi-Supervised Medical Image Segmentation with Perturbation Strategies and Knowledge DistillationCode1
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image SegmentationCode1
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised SegmentationCode1
Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image SegmentationCode1
DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image SegmentationCode1
An Embarrassingly Simple Consistency Regularization Method for Semi-Supervised Medical Image SegmentationCode1
Stitching, Fine-tuning, Re-training: A SAM-enabled Framework for Semi-supervised 3D Medical Image SegmentationCode1
A Teacher-Student Framework for Semi-supervised Medical Image Segmentation From Mixed SupervisionCode1
Dual-Task Mutual Learning for Semi-Supervised Medical Image SegmentationCode1
Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image SegmentationCode1
Inconsistency Masks: Removing the Uncertainty from Input-Pseudo-Label PairsCode1
Orthogonal Annotation Benefits Barely-supervised Medical Image SegmentationCode1
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