SemiSAM: Enhancing Semi-Supervised Medical Image Segmentation via SAM-Assisted Consistency Regularization
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Yichi, Yang, Jin, Liu, Yuchen, Cheng, Yuan, Qi, Yuan |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models
by: Zhang, Yichi, et al.
Published: (2025)
by: Zhang, Yichi, et al.
Published: (2025)
SemiSAM-O1: How far can we push the boundary of annotation-efficient medical image segmentation?
by: Zhang, Yichi, et al.
Published: (2026)
by: Zhang, Yichi, et al.
Published: (2026)
SSS: Semi-Supervised SAM-2 with Efficient Prompting for Medical Imaging Segmentation
by: Zhu, Hongjie, et al.
Published: (2025)
by: Zhu, Hongjie, et al.
Published: (2025)
SAM-Fed: SAM-Guided Federated Semi-Supervised Learning for Medical Image Segmentation
by: Nasirihaghighi, Sahar, et al.
Published: (2025)
by: Nasirihaghighi, Sahar, et al.
Published: (2025)
A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical Imaging
by: Xu, Guoping, et al.
Published: (2024)
by: Xu, Guoping, et al.
Published: (2024)
Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation
by: Konwer, Aishik, et al.
Published: (2025)
by: Konwer, Aishik, et al.
Published: (2025)
S^4M: Boosting Semi-Supervised Instance Segmentation with SAM
by: Yoon, Heeji, et al.
Published: (2025)
by: Yoon, Heeji, et al.
Published: (2025)
Learnable Prompting SAM-induced Knowledge Distillation for Semi-supervised Medical Image Segmentation
by: Huang, Kaiwen, et al.
Published: (2024)
by: Huang, Kaiwen, et al.
Published: (2024)
SAM Carries the Burden: A Semi-Supervised Approach Refining Pseudo Labels for Medical Segmentation
by: Keuth, Ron, et al.
Published: (2024)
by: Keuth, Ron, et al.
Published: (2024)
ST-SAM: SAM-Driven Self-Training Framework for Semi-Supervised Camouflaged Object Detection
by: Hu, Xihang, et al.
Published: (2025)
by: Hu, Xihang, et al.
Published: (2025)
WeakMedSAM: Weakly-Supervised Medical Image Segmentation via SAM with Sub-Class Exploration and Prompt Affinity Mining
by: Wang, Haoran, et al.
Published: (2025)
by: Wang, Haoran, et al.
Published: (2025)
SSL-MedSAM2: A Semi-supervised Medical Image Segmentation Framework Powered by Few-shot Learning of SAM2
by: Gong, Zhendi, et al.
Published: (2025)
by: Gong, Zhendi, et al.
Published: (2025)
SAM2-SGP: Enhancing SAM2 for Medical Image Segmentation via Support-Set Guided Prompting
by: Xing, Yang, et al.
Published: (2025)
by: Xing, Yang, et al.
Published: (2025)
Stitching, Fine-tuning, Re-training: A SAM-enabled Framework for Semi-supervised 3D Medical Image Segmentation
by: Li, Shumeng, et al.
Published: (2024)
by: Li, Shumeng, et al.
Published: (2024)
SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation
by: Yang, Danni, et al.
Published: (2024)
by: Yang, Danni, et al.
Published: (2024)
ASLseg: Adapting SAM in the Loop for Semi-supervised Liver Tumor Segmentation
by: Chen, Shiyun, et al.
Published: (2023)
by: Chen, Shiyun, et al.
Published: (2023)
DC-SAM: In-Context Segment Anything in Images and Videos via Dual Consistency
by: Qi, Mengshi, et al.
Published: (2025)
by: Qi, Mengshi, et al.
Published: (2025)
Semi-MedRef: Semi-Supervised Medical Referring Image Segmentation with Cross-Modal Alignment
by: Li, Yuchen, et al.
Published: (2026)
by: Li, Yuchen, et al.
Published: (2026)
Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification
by: Zhang, Yichi, et al.
Published: (2023)
by: Zhang, Yichi, et al.
Published: (2023)
Semi-KAN: KAN Provides an Effective Representation for Semi-Supervised Learning in Medical Image Segmentation
by: Ye, Zanting, et al.
Published: (2025)
by: Ye, Zanting, et al.
Published: (2025)
Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptation
by: Xie, Bin, et al.
Published: (2025)
by: Xie, Bin, et al.
Published: (2025)
SEG-SAM: Semantic-Guided SAM for Unified Medical Image Segmentation
by: Huang, Shuangping, et al.
Published: (2024)
by: Huang, Shuangping, et al.
Published: (2024)
Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation
by: Wu, Junde, et al.
Published: (2023)
by: Wu, Junde, et al.
Published: (2023)
Zero-Shot Pseudo Labels Generation Using SAM and CLIP for Semi-Supervised Semantic Segmentation
by: Saito, Nagito, et al.
Published: (2025)
by: Saito, Nagito, et al.
Published: (2025)
Diverse Teaching and Label Propagation for Generic Semi-Supervised Medical Image Segmentation
by: Li, Wei, et al.
Published: (2025)
by: Li, Wei, et al.
Published: (2025)
Boosting Semi-Supervised Medical Image Segmentation via Masked Image Consistency and Discrepancy Learning
by: Zhou, Pengcheng, et al.
Published: (2025)
by: Zhou, Pengcheng, et al.
Published: (2025)
I-MedSAM: Implicit Medical Image Segmentation with Segment Anything
by: Wei, Xiaobao, et al.
Published: (2023)
by: Wei, Xiaobao, et al.
Published: (2023)
Semi-supervised Medical Image Segmentation via Query Distribution Consistency
by: Wu, Rong, et al.
Published: (2023)
by: Wu, Rong, et al.
Published: (2023)
Instance-Aware Robust Consistency Regularization for Semi-Supervised Nuclei Instance Segmentation
by: Lin, Zenan, et al.
Published: (2025)
by: Lin, Zenan, et al.
Published: (2025)
RFMedSAM 2: Automatic Prompt Refinement for Enhanced Volumetric Medical Image Segmentation with SAM 2
by: Xie, Bin, et al.
Published: (2025)
by: Xie, Bin, et al.
Published: (2025)
ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction
by: Chen, Danhui, et al.
Published: (2025)
by: Chen, Danhui, et al.
Published: (2025)
Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation
by: Chi, Hanyang, et al.
Published: (2024)
by: Chi, Hanyang, et al.
Published: (2024)
Adaptive Mix for Semi-Supervised Medical Image Segmentation
by: Shen, Zhiqiang, et al.
Published: (2024)
by: Shen, Zhiqiang, et al.
Published: (2024)
Unleashing the Potential of SAM2 for Biomedical Images and Videos: A Survey
by: Zhang, Yichi, et al.
Published: (2024)
by: Zhang, Yichi, et al.
Published: (2024)
Semi-Supervised Medical Image Segmentation via Dual Networks
by: Lu, Yunyao, et al.
Published: (2025)
by: Lu, Yunyao, et al.
Published: (2025)
Is SAM 2 Better than SAM in Medical Image Segmentation?
by: Sengupta, Sourya, et al.
Published: (2024)
by: Sengupta, Sourya, et al.
Published: (2024)
Instance Consistency Regularization for Semi-Supervised 3D Instance Segmentation
by: Wu, Yizheng, et al.
Published: (2024)
by: Wu, Yizheng, et al.
Published: (2024)
Medical Image Segmentation with SAM-generated Annotations
by: Häkkinen, Iira, et al.
Published: (2024)
by: Häkkinen, Iira, et al.
Published: (2024)
Dual-Scale Volume Priors with Wasserstein-Based Consistency for Semi-Supervised Medical Image Segmentation
by: Meng, Junying, et al.
Published: (2025)
by: Meng, Junying, et al.
Published: (2025)
Semi-Supervised Medical Image Segmentation via Knowledge Mining from Large Models
by: Mao, Yuchen, et al.
Published: (2025)
by: Mao, Yuchen, et al.
Published: (2025)
Similar Items
-
SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models
by: Zhang, Yichi, et al.
Published: (2025) -
SemiSAM-O1: How far can we push the boundary of annotation-efficient medical image segmentation?
by: Zhang, Yichi, et al.
Published: (2026) -
SSS: Semi-Supervised SAM-2 with Efficient Prompting for Medical Imaging Segmentation
by: Zhu, Hongjie, et al.
Published: (2025) -
SAM-Fed: SAM-Guided Federated Semi-Supervised Learning for Medical Image Segmentation
by: Nasirihaghighi, Sahar, et al.
Published: (2025) -
A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical Imaging
by: Xu, Guoping, et al.
Published: (2024)