Cover Image

CoSAM: Self-Correcting SAM for Domain Generalization in 2D Medical Image Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fu, Yihang, Chen, Ziyang, Ye, Yiwen, Lei, Xingliang, Wang, Zhisong, Xia, Yong
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enjoying Information Dividend: Gaze Track-based Medical Weakly Supervised Segmentation
by: Wang, Zhisong, et al.
Published: (2025)

Leveraging SAM for Single-Source Domain Generalization in Medical Image Segmentation
by: Wang, Hanhui, et al.
Published: (2024)

Pre-training Everywhere: Parameter-Efficient Fine-Tuning for Medical Image Analysis via Target Parameter Pre-training
by: Lei, Xingliang, et al.
Published: (2024)

From Few to More: Scribble-based Medical Image Segmentation via Masked Context Modeling and Continuous Pseudo Labels
by: Wang, Zhisong, et al.
Published: (2024)

Unified Start, Personalized End: Progressive Pruning for Efficient 3D Medical Image Segmentation
by: Li, Linhao, et al.
Published: (2025)

Fully Automated SAM for Single-source Domain Generalization in Medical Image Segmentation
by: Zhuo, Huanli, et al.
Published: (2025)

Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation
by: Chen, Ziyang, et al.
Published: (2024)

Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptation
by: Xie, Bin, et al.
Published: (2025)

Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation
by: Chen, Ziyang, et al.
Published: (2023)

MedUniSeg: 2D and 3D Medical Image Segmentation via a Prompt-driven Universal Model
by: Ye, Yiwen, et al.
Published: (2024)

SEG-SAM: Semantic-Guided SAM for Unified Medical Image Segmentation
by: Huang, Shuangping, et al.
Published: (2024)

SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images
by: Wang, Haoyu, et al.
Published: (2023)

SAM & SAM 2 in 3D Slicer: SegmentWithSAM Extension for Annotating Medical Images
by: Yildiz, Zafer, et al.
Published: (2024)

Frequency Adapter with SAM for Generalized Medical Image Segmentation
by: Bui, Phuoc-Nguyen, et al.
Published: (2026)

Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation
by: Wu, Junde, et al.
Published: (2023)

RevSAM2: Prompt SAM2 for Medical Image Segmentation via Reverse-Propagation without Fine-tuning
by: Bai, Yunhao, et al.
Published: (2024)

RefSAM3D: Adapting SAM with Cross-modal Reference for 3D Medical Image Segmentation
by: Gao, Xiang, et al.
Published: (2024)

Is SAM 2 Better than SAM in Medical Image Segmentation?
by: Sengupta, Sourya, et al.
Published: (2024)

Medical Image Segmentation with SAM-generated Annotations
by: Häkkinen, Iira, et al.
Published: (2024)

Interactive 3D Medical Image Segmentation with SAM 2
by: Shen, Chuyun, et al.
Published: (2024)

Day-Night Adaptation: An Innovative Source-free Adaptation Framework for Medical Image Segmentation
by: Chen, Ziyang, et al.
Published: (2024)

MaskSAM: Towards Auto-prompt SAM with Mask Classification for Volumetric Medical Image Segmentation
by: Xie, Bin, et al.
Published: (2024)

WeakMedSAM: Weakly-Supervised Medical Image Segmentation via SAM with Sub-Class Exploration and Prompt Affinity Mining
by: Wang, Haoran, 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)

SemiSAM: Enhancing Semi-Supervised Medical Image Segmentation via SAM-Assisted Consistency Regularization
by: Zhang, Yichi, et al.
Published: (2023)

RS2-SAM2: Customized SAM2 for Referring Remote Sensing Image Segmentation
by: Rong, Fu, et al.
Published: (2025)

SAM-Fed: SAM-Guided Federated Semi-Supervised Learning for Medical Image Segmentation
by: Nasirihaghighi, Sahar, et al.
Published: (2025)

SeqSAM: Autoregressive Multiple Hypothesis Prediction for Medical Image Segmentation using SAM
by: Towle, Benjamin, et al.
Published: (2025)

Learnable Prompting SAM-induced Knowledge Distillation for Semi-supervised Medical Image Segmentation
by: Huang, Kaiwen, et al.
Published: (2024)

I-MedSAM: Implicit Medical Image Segmentation with Segment Anything
by: Wei, Xiaobao, et al.
Published: (2023)

MedSeqFT: Sequential Fine-tuning Foundation Models for 3D Medical Image Segmentation
by: Ye, Yiwen, et al.
Published: (2025)

SAM2-3dMed: Empowering SAM2 for 3D Medical Image Segmentation
by: Yang, Yeqing, et al.
Published: (2025)

SSS: Semi-Supervised SAM-2 with Efficient Prompting for Medical Imaging Segmentation
by: Zhu, Hongjie, et al.
Published: (2025)

Hierarchical Self-Prompting SAM: A Prompt-Free Medical Image Segmentation Framework
by: Zhang, Mengmeng, et al.
Published: (2025)

SAM2-SGP: Enhancing SAM2 for Medical Image Segmentation via Support-Set Guided Prompting
by: Xing, Yang, et al.
Published: (2025)

SAM-MPA: Applying SAM to Few-shot Medical Image Segmentation using Mask Propagation and Auto-prompting
by: Xu, Jie, et al.
Published: (2024)

OFL-SAM2: Prompt SAM2 with Online Few-shot Learner for Efficient Medical Image Segmentation
by: Lan, Meng, et al.
Published: (2025)

DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation
by: Gao, Yifan, et al.
Published: (2023)

SSL-MedSAM2: A Semi-supervised Medical Image Segmentation Framework Powered by Few-shot Learning of SAM2
by: Gong, Zhendi, et al.
Published: (2025)

PG-SAM: Prior-Guided SAM with Medical for Multi-organ Segmentation
by: Zhong, Yiheng, et al.
Published: (2025)