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Semi-supervised Medical Image Segmentation

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Showing 101–144 of 144 papers

TitleStatusHype
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
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation—0
Self-Ensembling Contrastive Learning for Semi-Supervised Medical Image Segmentation—0
Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-Supervised Medical Image Segmentation—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
Rethinking the Mean Teacher Strategy from the Perspective of Self-paced Learning—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
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