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Semi-supervised Medical Image Segmentation

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Showing 51–100 of 144 papers

TitleStatusHype
Semi-supervised Medical Image Segmentation Method Based on Cross-pseudo Labeling Leveraging Strong and Weak Data Augmentation StrategiesCode1
Mutual Consistency Learning for Semi-supervised Medical Image SegmentationCode1
Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-aware Contrastive DistillationCode1
When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class Medical Image Semantic SegmentationCode1
Exploring Smoothness and Class-Separation for Semi-supervised Medical Image SegmentationCode1
C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image SegmentationCode1
A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical ImagingCode1
Gaze-Assisted Medical Image SegmentationCode1
Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-Supervised Medical Image Segmentation—0
Adaptive Mix for Semi-Supervised Medical Image Segmentation—0
Addressing Class Imbalance in Semi-supervised Image Segmentation: A Study on Cardiac MRI—0
Analysing the effectiveness of a generative model for semi-supervised medical image segmentation—0
An Evidential-enhanced Tri-Branch Consistency Learning Method for Semi-supervised Medical Image Segmentation—0
Annotation Ambiguity Aware Semi-Supervised Medical Image Segmentation—0
ATSO: Asynchronous Teacher-Student Optimization for Semi-Supervised Medical Image Segmentation—0
Mind the Context: Attention-Guided Weak-to-Strong Consistency for Enhanced Semi-Supervised Medical Image Segmentation—0
Balancing Multi-Target Semi-Supervised Medical Image Segmentation with Collaborative Generalist and Specialists—0
beta-FFT: Nonlinear Interpolation and Differentiated Training Strategies for Semi-Supervised Medical Image Segmentation—0
Bidirectional Uncertainty-Aware Region Learning for Semi-Supervised Medical Image Segmentation—0
Boosting Semi-Supervised Medical Image Segmentation via Masked Image Consistency and Discrepancy Learning—0
C^3PS: Context-aware Conditional Cross Pseudo Supervision for Semi-supervised Medical Image Segmentation—0
CAD: Confidence-Aware Adaptive Displacement for Semi-Supervised Medical Image Segmentation—0
Competitive Ensembling Teacher-Student Framework for Semi-Supervised Left Atrium MRI Segmentation—0
Cross-adversarial local distribution regularization for semi-supervised medical image segmentation—0
Cross-supervised Dual Classifiers for Semi-supervised Medical Image Segmentation—0
Diagonal Hierarchical Consistency Learning for Semi-supervised Medical Image Segmentation—0
Diff-CL: A Novel Cross Pseudo-Supervision Method for Semi-supervised Medical Image Segmentation—0
DiM: f-Divergence Minimization Guided Sharpness-Aware Optimization for Semi-supervised Medical Image Segmentation—0
Double Banking on Knowledge: Customized Modulation and Prototypes for Multi-Modality Semi-supervised Medical Image Segmentation—0
Dual Structure-Aware Image Filterings for Semi-supervised Medical Image Segmentation—0
DyCON: Dynamic Uncertainty-aware Consistency and Contrastive Learning for Semi-supervised Medical Image Segmentation—0
Efficient Prototype Consistency Learning in Medical Image Segmentation via Joint Uncertainty and Data Augmentation—0
Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation—0
EPL: Evidential Prototype Learning for Semi-supervised Medical Image Segmentation—0
EVIL: Evidential Inference Learning for Trustworthy Semi-supervised Medical Image Segmentation—0
FedSemiDG: Domain Generalized Federated Semi-supervised Medical Image Segmentation—0
FRCNet Frequency and Region Consistency for Semi-supervised Medical Image Segmentation—0
GIGP: A Global Information Interacting and Geometric Priors Focusing Framework for Semi-supervised Medical Image Segmentation—0
Graph-BAS3Net: Boundary-Aware Semi-Supervised Segmentation Network With Bilateral Graph Convolution—0
GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation—0
Leveraging Fixed and Dynamic Pseudo-labels for Semi-supervised Medical Image Segmentation—0
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation—0
Medical Image Segmentation with Belief Function Theory and Deep Learning—0
Mixed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation—0
Multi-dimensional Fusion and Consistency for Semi-supervised Medical Image Segmentation—0
Multi-Scale Cross Contrastive Learning for Semi-Supervised Medical Image Segmentation—0
Mutual- and Self- Prototype Alignment for Semi-supervised Medical Image Segmentation—0
P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation—0
Robust semi-supervised segmentation with timestep ensembling diffusion models—0
S&D Messenger: Exchanging Semantic and Domain Knowledge for Generic Semi-Supervised Medical Image Segmentation—0
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