Semi-supervised Medical Image Segmentation

Benchmarks archive 2025-07-28

7 leaderboard tables shown for this task, 7 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 79 papers with code (144 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Stitching, Fine-tuning, Re-training: A SAM-enabled Framework for Semi-supervised 3D Medical Image Segmentation
  17 Mar 2024 2 repositories listed
  To reduce the annotation cost and maintain satisfactory performance, in this work, we leverage the capabilities of SAM for establishing semi-supervised medical image segmentation models.
• Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation
  1 May 2023 2 repositories listed Syntology ran 6 of 19 samples · 13 unverified
  In semi-supervised medical image segmentation, there exist empirical mismatch problems between labeled and unlabeled data distribution.
• ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast
  5 Apr 2023 2 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  In this work, we present ACTION++, an improved contrastive learning framework with adaptive anatomical contrast for semi-supervised medical segmentation.
• Inherent Consistent Learning for Accurate Semi-supervised Medical Image Segmentation
  24 Mar 2023 2 repositories listed
  Semi-supervised medical image segmentation has attracted much attention in recent years because of the high cost of medical image annotations.
• Pseudo-Label Guided Contrastive Learning for Semi-Supervised Medical Image Segmentation
  1 Jan 2023 2 repositories listed
  Although recent works in semi-supervised learning (SemiSL) have accomplished significant success in natural image segmentation, the task of learning discriminative representations from limited annotations has been an…
• When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class Medical Image Semantic Segmentation
  12 Aug 2022 2 repositories listed
  A topological exploration of all alternative supervision modes with CNN and ViT are detailed validated, demonstrating the most promising performance and specific setting of our method on semi-supervised medical image…
• Translation Consistent Semi-supervised Segmentation for 3D Medical Images
  28 Mar 2022 2 repositories listed Syntology ran 0 of 9 samples · 9 unverified
  The most successful SSL approaches are based on consistency learning that minimises the distance between model responses obtained from perturbed views of the unlabelled data.
• Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation
  2 Mar 2022 2 repositories listed
  The pixel-level smoothness forces the model to generate invariant results under adversarial perturbations.
• MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations with Limited Labels
  23 Oct 2021 2 repositories listed
  The state-of-the-art SSL methods in image classification utilise consistency regularisation to learn unlabelled predictions which are invariant to input level perturbations.
• Mutual Consistency Learning for Semi-supervised Medical Image Segmentation
  21 Sep 2021 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  In this paper, we propose a novel mutual consistency network (MC-Net+) to effectively exploit the unlabeled data for semi-supervised medical image segmentation.
• SSS: Semi-Supervised SAM-2 with Efficient Prompting for Medical Imaging Segmentation
  10 Jun 2025 1 repository listed
  In the era of information explosion, efficiently leveraging large-scale unlabeled data while minimizing the reliance on high-quality pixel-level annotations remains a critical challenge in the field of medical imaging.
• C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation
  9 Jun 2025 1 repository listed
  For the immanent challenge of insufficiently annotated samples in the medical field, semi-supervised medical image segmentation (SSMIS) offers a promising solution.
• Unleashing the Power of Intermediate Domains for Mixed Domain Semi-Supervised Medical Image Segmentation
  30 May 2025 1 repository listed
  We employ Unified Copy-paste (UCP) to construct intermediate domains, and propose a Symmetric GuiDance training strategy (SymGD) to supervise unlabeled data by merging pseudo-labels from intermediate samples.
• Decoupled Competitive Framework for Semi-supervised Medical Image Segmentation
  30 May 2025 1 repository listed
  Confronting the critical challenge of insufficiently annotated samples in medical domain, semi-supervised medical image segmentation (SSMIS) emerges as a promising solution.
• Background Matters: A Cross-view Bidirectional Modeling Framework for Semi-supervised Medical Image Segmentation
  22 May 2025 1 repository listed
  Semi-supervised medical image segmentation (SSMIS) leverages unlabeled data to reduce reliance on manually annotated images.
• Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation
  21 Mar 2025 1 repository listed Syntology ran 7 of 13 samples · 6 unverified
  Large pretrained visual foundation models exhibit impressive general capabilities.
• Multi-Prototype Embedding Refinement for Semi-Supervised Medical Image Segmentation
  18 Mar 2025 1 repository listed
  Medical image segmentation aims to identify anatomical structures at the voxel-level.
• Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-Labeling for Semi-Supervised Ultrasound Image Segmentation
  18 Mar 2025 1 repository listed Syntology ran 2 of 3 samples · 1 unverified
  Medical ultrasound imaging is ubiquitous, but manual analysis struggles to keep pace.
• SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models
  28 Feb 2025 1 repository listed
  SemiSAM+ consists of one or multiple promptable foundation models as generalist models, and a trainable task-specific segmentation model as specialist model.
• SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image Segmentation
  20 Dec 2024 1 repository listed
  To address these issues, we propose a novel Semantic-Guided Triplet Co-training (SGTC) framework, which achieves high-end medical image segmentation by only annotating three orthogonal slices of a few volumetric…
• Learnable Prompting SAM-induced Knowledge Distillation for Semi-supervised Medical Image Segmentation
  18 Dec 2024 1 repository listed
  In this paper, we propose a learnable prompting SAM-induced Knowledge distillation framework (KnowSAM) for semi-supervised medical image segmentation.
• DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image Segmentation
  17 Dec 2024 1 repository listed
  Vision-Language Model (VLM) has great potential to enhance pseudo labels by introducing text prompt guided multimodal supervision information.
• A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical Imaging
  25 Nov 2024 1 repository listed
  This study introduces SAMatch, a SAM-guided Match-based framework for semi-supervised medical image segmentation, aimed at improving pseudo label quality in data-scarce scenarios.
• Gaze-Assisted Medical Image Segmentation
  23 Oct 2024 1 repository listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  In particular, the average Dice coefficient for 16 abdominal organs was 85.
• Shape Transformation Driven by Active Contour for Class-Imbalanced Semi-Supervised Medical Image Segmentation
  18 Oct 2024 1 repository listed
  The significant size differences among various organs in the human body lead to imbalanced class distribution, which is a major challenge in the real-world application of these SSL approaches.
• Dual-Teacher Ensemble Models with Double-Copy-Paste for 3D Semi-Supervised Medical Image Segmentation
  15 Oct 2024 1 repository listed
  Dual-teacher models were introduced to address this problem but often neglected the importance of maintaining teacher model diversity, leading to coupling issues among teachers.
• Manifold-Aware Local Feature Modeling for Semi-Supervised Medical Image Segmentation
  14 Oct 2024 1 repository listed
  Achieving precise medical image segmentation is vital for effective treatment planning and accurate disease diagnosis.
• SDCL: Students Discrepancy-Informed Correction Learning for Semi-supervised Medical Image Segmentation
  25 Sep 2024 1 repository listed
  Semi-supervised medical image segmentation (SSMIS) has been demonstrated the potential to mitigate the issue of limited medical labeled data.
• Learning Semi-Supervised Medical Image Segmentation from Spatial Registration
  16 Sep 2024 1 repository listed
  The RSL leverages segmentation knowledge derived from transforms between labeled and unlabeled volume pairs, providing an additional source of pseudo-labels.
• Lagrange Duality and Compound Multi-Attention Transformer for Semi-Supervised Medical Image Segmentation
  12 Sep 2024 1 repository listed
  Overall, our results indicate that CMAformer, combined with the feature fusion framework and the new consistency loss, demonstrates strong complementarity in semi-supervised learning ensembles.

Syntology lines on 7 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.