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Semi-supervised Medical Image Segmentation

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Showing 101–144 of 144 papers

TitleStatusHype
An Evidential-enhanced Tri-Branch Consistency Learning Method for Semi-supervised Medical Image Segmentation—0
EPL: Evidential Prototype Learning for Semi-supervised Medical Image Segmentation—0
Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation—0
Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Medical Image SegmentationCode0
Dual Structure-Aware Image Filterings for Semi-supervised Medical Image Segmentation—0
Semi-supervised Medical Image Segmentation via Query Distribution ConsistencyCode0
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation—0
SSASS: Semi-Supervised Approach for Stenosis Segmentation—0
Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image SegmentationCode0
Robust semi-supervised segmentation with timestep ensembling diffusion models—0
Diagonal Hierarchical Consistency Learning 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
Medical Image Segmentation with Belief Function Theory and Deep Learning—0
Multi-dimensional Fusion and Consistency for Semi-supervised Medical Image Segmentation—0
Dual-Decoder Consistency via Pseudo-Labels Guided Data Augmentation for Semi-Supervised Medical Image SegmentationCode0
Semi-Supervised Medical Image Segmentation with Co-Distribution Alignment—0
EVIL: Evidential Inference Learning for Trustworthy Semi-supervised Medical Image Segmentation—0
Multi-Scale Cross Contrastive Learning for Semi-Supervised Medical Image Segmentation—0
C^3PS: Context-aware Conditional Cross Pseudo Supervision for Semi-supervised Medical Image Segmentation—0
Cross-supervised Dual Classifiers for Semi-supervised Medical Image Segmentation—0
Self-training with dual uncertainty for semi-supervised medical image segmentation—0
Analysing the effectiveness of a generative model for semi-supervised medical image segmentation—0
IDEAL: Improved DEnse locAL Contrastive Learning for Semi-Supervised Medical Image SegmentationCode0
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited LabelsCode0
Addressing Class Imbalance in Semi-supervised Image Segmentation: A Study on Cardiac MRI—0
Mutual- and Self- Prototype Alignment for Semi-supervised Medical Image Segmentation—0
Semi-supervised Medical Image Segmentation via Geometry-aware Consistency Training—0
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation—0
Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer—0
Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation—0
Uncertainty-Aware Deep Co-training for Semi-supervised Medical Image Segmentation—0
Exploring Feature Representation Learning for Semi-supervised Medical Image SegmentationCode0
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation—0
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation—0
Self-Ensembling Contrastive Learning for Semi-Supervised Medical Image Segmentation—0
Graph-BAS3Net: Boundary-Aware Semi-Supervised Segmentation Network With Bilateral Graph Convolution—0
Semi-supervised Medical Image Segmentation through Dual-task Consistency—0
Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-Supervised Medical Image Segmentation—0
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation—0
ATSO: Asynchronous Teacher-Student Optimization for Semi-Supervised Medical Image Segmentation—0
A generic ensemble based deep convolutional neural network for semi-supervised medical image segmentationCode0
Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations—0
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation—0
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