Cover Image

A Foundation Model for General Moving Object Segmentation in Medical Images

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yan, Zhongnuo, Han, Tong, Huang, Yuhao, Liu, Lian, Zhou, Han, Chen, Jiongquan, Shi, Wenlong, Cao, Yan, Yang, Xin, Ni, Dong
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fine-grained Context and Multi-modal Alignment for Freehand 3D Ultrasound Reconstruction
by: Yan, Zhongnuo, et al.
Published: (2024)

Robust Box Prompt based SAM for Medical Image Segmentation
by: Huang, Yuhao, et al.
Published: (2024)

Segment Anything Model for Medical Images?
by: Huang, Yuhao, et al.
Published: (2023)

Accurate and Efficient Fetal Birth Weight Estimation from 3D Ultrasound
by: Wang, Jian, et al.
Published: (2025)

MoNetV2: Enhanced Motion Network for Freehand 3D Ultrasound Reconstruction
by: Luo, Mingyuan, et al.
Published: (2025)

ROS-SAM: High-Quality Interactive Segmentation for Remote Sensing Moving Object
by: Shan, Zhe, et al.
Published: (2025)

Medical SAM3: A Foundation Model for Universal Prompt-Driven Medical Image Segmentation
by: Jiang, Chongcong, et al.
Published: (2026)

JSTR: Joint Spatio-Temporal Reasoning for Event-based Moving Object Detection
by: Zhou, Hanyu, et al.
Published: (2024)

MoME: Mixture of Visual Language Medical Experts for Medical Imaging Segmentation
by: Rezvani, Arghavan, et al.
Published: (2025)

Let Your Image Move with Your Motion! -- Implicit Multi-Object Multi-Motion Transfer
by: Li, Yuze, et al.
Published: (2026)

GMOS: Grounding Moving Object Segmentation in 3D Space and Time
by: Xie, Junyu, et al.
Published: (2026)

Pareto-Guided Optimization for Uncertainty-Aware Medical Image Segmentation
by: Zhang, Jinming, et al.
Published: (2026)

Mitral Regurgitation Recognition based on Unsupervised Out-of-Distribution Detection with Residual Diffusion Amplification
by: Liu, Zhe, et al.
Published: (2024)

Prior-Guided Residual Diffusion: Calibrated and Efficient Medical Image Segmentation
by: Mao, Fuyou, et al.
Published: (2025)

EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image Segmentation
by: Chang, Ao, et al.
Published: (2024)

Moving Object Proposals with Deep Learned Optical Flow for Video Object Segmentation
by: Shi, Ge, et al.
Published: (2024)

Event-Free Moving Object Segmentation from Moving Ego Vehicle
by: Zhou, Zhuyun, et al.
Published: (2023)

Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts
by: Shi, Jiang-Xin, et al.
Published: (2023)

Revisiting Data Scaling in Medical Image Segmentation via Topology-Aware Augmentation
by: Chu, Yuetan, et al.
Published: (2025)

Debiased Noise Editing on Foundation Models for Fair Medical Image Classification
by: Jin, Ruinan, et al.
Published: (2024)

PASSION: Towards Effective Incomplete Multi-Modal Medical Image Segmentation with Imbalanced Missing Rates
by: Shi, Junjie, et al.
Published: (2024)

Flip Learning: Weakly Supervised Erase to Segment Nodules in Breast Ultrasound
by: Huang, Yuhao, et al.
Published: (2025)

Beyond Pixel-Wise Supervision for Medical Image Segmentation: From Traditional Models to Foundation Models
by: Shi, Yuyan, et al.
Published: (2024)

EXOT: Exit-aware Object Tracker for Safe Robotic Manipulation of Moving Object
by: Kim, Hyunseo, et al.
Published: (2023)

Cross-Modal Conditioned Reconstruction for Language-guided Medical Image Segmentation
by: Huang, Xiaoshuang, et al.
Published: (2024)

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound
by: Chen, Shijing, et al.
Published: (2025)

Frequency-domain Multi-modal Fusion for Language-guided Medical Image Segmentation
by: Yu, Bo, et al.
Published: (2025)

Adapting Vision-Language Foundation Model for Next Generation Medical Ultrasound Image Analysis
by: Qu, Jingguo, et al.
Published: (2025)

Adapting Foundation Models for Few-Shot Medical Image Segmentation: Actively and Sequentially
by: Yang, Jingyun, et al.
Published: (2025)

Predictive Accuracy-Based Active Learning for Medical Image Segmentation
by: Shi, Jun, et al.
Published: (2024)

MReg: A Novel Regression Model with MoE-based Video Feature Mining for Mitral Regurgitation Diagnosis
by: Liu, Zhe, et al.
Published: (2025)

Moving Object Segmentation: All You Need Is SAM (and Flow)
by: Xie, Junyu, et al.
Published: (2024)

Instance-Level Moving Object Segmentation from a Single Image with Events
by: Wan, Zhexiong, et al.
Published: (2025)

FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness
by: Xiang, Yangyang, et al.
Published: (2024)

HeartBeat: Towards Controllable Echocardiography Video Synthesis with Multimodal Conditions-Guided Diffusion Models
by: Zhou, Xinrui, et al.
Published: (2024)

Learning Temporal Distribution and Spatial Correlation Towards Universal Moving Object Segmentation
by: Dong, Guanfang, et al.
Published: (2023)

MM-UNet: Meta Mamba UNet for Medical Image Segmentation
by: Xie, Bin, et al.
Published: (2025)

SemiGDA: Generative Dual-distribution Alignment for Semi-Supervised Medical Image Segmentation
by: Huang, Kaiwen, et al.
Published: (2026)

Beyond Euclidean Prototypes: Spectral Disentanglement and Geodesic Matching for Few-Shot Medical Image Segmentation
by: Jia, Penghao, et al.
Published: (2026)

SliceMamba with Neural Architecture Search for Medical Image Segmentation
by: Fan, Chao, et al.
Published: (2024)