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Semi-supervised Medical Image Segmentation

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Showing 101–144 of 144 papers

TitleStatusHype
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation—0
Self-Ensembling Contrastive Learning for Semi-Supervised Medical Image Segmentation—0
Rethinking the Mean Teacher Strategy from the Perspective of Self-paced Learning—0
Self-training with dual uncertainty for semi-supervised medical image segmentation—0
Semi-KAN: KAN Provides an Effective Representation for Semi-Supervised Learning in Medical Image Segmentation—0
Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations—0
Semi-supervised Medical Image Segmentation via Geometry-aware Consistency Training—0
Semi-Supervised Medical Image Segmentation with Co-Distribution Alignment—0
Semi-Supervised Medical Image Segmentation via Knowledge Mining from Large Models—0
SemSim: Revisiting Weak-to-Strong Consistency from a Semantic Similarity Perspective for Semi-supervised Medical Image Segmentation—0
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation—0
SP ^3 : Superpixel-propagated pseudo-label learning for weakly semi-supervised medical image segmentation—0
SSASS: Semi-Supervised Approach for Stenosis Segmentation—0
Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation—0
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation—0
TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation—0
Uncertainty-Aware Deep Co-training for Semi-supervised Medical Image Segmentation—0
Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation—0
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation—0
Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation—0
Dual-Decoder Consistency via Pseudo-Labels Guided Data Augmentation for Semi-Supervised Medical Image SegmentationCode0
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image SegmentationCode0
Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image SegmentationCode0
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited LabelsCode0
Manifold-Aware Local Feature Modeling for Semi-Supervised Medical Image SegmentationCode0
AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image SegmentationCode0
Learning Semi-Supervised Medical Image Segmentation from Spatial RegistrationCode0
SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image SegmentationCode0
Decoupled Competitive Framework for Semi-supervised Medical Image SegmentationCode0
Lagrange Duality and Compound Multi-Attention Transformer for Semi-Supervised Medical Image SegmentationCode0
A generic ensemble based deep convolutional neural network for semi-supervised medical image segmentationCode0
Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image SegmentationCode0
IDEAL: Improved DEnse locAL Contrastive Learning for Semi-Supervised Medical Image SegmentationCode0
WT-BCP: Wavelet Transform based Bidirectional Copy-Paste for Semi-Supervised Medical Image SegmentationCode0
SSS: Semi-Supervised SAM-2 with Efficient Prompting for Medical Imaging SegmentationCode0
Exploring Feature Representation Learning for Semi-supervised Medical Image SegmentationCode0
Dual-Teacher Ensemble Models with Double-Copy-Paste for 3D Semi-Supervised Medical Image SegmentationCode0
Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Medical Image SegmentationCode0
AstMatch: Adversarial Self-training Consistency Framework for Semi-Supervised Medical Image SegmentationCode0
Semi-supervised Medical Image Segmentation through Dual-task ConsistencyCode0
Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and TransformerCode0
Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-Labeling for Semi-Supervised Ultrasound Image SegmentationCode0
Unleashing the Power of Intermediate Domains for Mixed Domain Semi-Supervised Medical Image SegmentationCode0
Semi-supervised Medical Image Segmentation via Query Distribution ConsistencyCode0
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