Imagen de Portada

Synergistic Foundation Models for Semi-Supervised Fetal Cardiac Ultrasound Analysis: SAM-Med2D Boundary Refinement and DINOv3 Semantic Enhancement

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhuang, Tonghao, Hu, Shanglong, Luo, Yongsheng, Zhang, Zhiqi, Li, Yu
Formato:	Preprint
Publicado:	2026
Materias:	Computer Vision and Pattern Recognition Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Challenging DINOv3 Foundation Model under Low Inter-Class Variability: A Case Study on Fetal Brain Ultrasound
por: Conti, Edoardo, et al.
Publicado: (2025)

Dual Agreement Consistency Learning with Foundation Models for Semi-Supervised Fetal Heart Ultrasound Segmentation and Diagnosis
por: Wang, Fangyijie, et al.
Publicado: (2026)

SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models
por: Zhang, Yichi, et al.
Publicado: (2025)

ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction
por: Chen, Danhui, et al.
Publicado: (2025)

Leveraging Information Divergence for Robust Semi-Supervised Fetal Ultrasound Image Segmentation
por: Wang, Fangyijie, et al.
Publicado: (2025)

MedCore: Boundary-Preserving Medical Core Pruning for MedSAM
por: Zhang, Cenwei, et al.
Publicado: (2026)

Boundary-Refined Prototype Generation: A General End-to-End Paradigm for Semi-Supervised Semantic Segmentation
por: Dong, Junhao, et al.
Publicado: (2023)

Leveraging Self-Supervised Learning for Fetal Cardiac Planes Classification using Ultrasound Scan Videos
por: Benjamin, Joseph Geo, et al.
Publicado: (2024)

SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation
por: Yang, Danni, et al.
Publicado: (2024)

MedDINOv3: How to adapt vision foundation models for medical image segmentation?
por: Li, Yuheng, et al.
Publicado: (2025)

FetalCLIP: A Visual-Language Foundation Model for Fetal Ultrasound Image Analysis
por: Maani, Fadillah, et al.
Publicado: (2025)

MedSAM-U: Uncertainty-Guided Auto Multi-Prompt Adaptation for Reliable MedSAM
por: Zhou, Nan, et al.
Publicado: (2024)

HDC: Hierarchical Distillation for Multi-level Noisy Consistency in Semi-Supervised Fetal Ultrasound Segmentation
por: Le, Tran Quoc Khanh, et al.
Publicado: (2025)

SAM Carries the Burden: A Semi-Supervised Approach Refining Pseudo Labels for Medical Segmentation
por: Keuth, Ron, et al.
Publicado: (2024)

Assessing Foundational Medical 'Segment Anything' (Med-SAM1, Med-SAM2) Deep Learning Models for Left Atrial Segmentation in 3D LGE MRI
por: Mehrnia, Mehri, et al.
Publicado: (2024)

From SAM to DINOv2: Towards Distilling Foundation Models to Lightweight Baselines for Generalized Polyp Segmentation
por: Agnihotri, Shivanshu, et al.
Publicado: (2025)

ST-SAM: SAM-Driven Self-Training Framework for Semi-Supervised Camouflaged Object Detection
por: Hu, Xihang, et al.
Publicado: (2025)

NeuroSeg Meets DINOv3: Transferring 2D Self-Supervised Visual Priors to 3D Neuron Segmentation via DINOv3 Initialization
por: Cheng, Yik San, et al.
Publicado: (2026)

Synergistic Multiscale Detail Refinement via Intrinsic Supervision for Underwater Image Enhancement
por: Zhang, Dehuan, et al.
Publicado: (2023)

Challenge Summary U-MedSAM: Uncertainty-aware MedSAM for Medical Image Segmentation
por: Wang, Xin, et al.
Publicado: (2024)

Semantic Segmentation Refiner for Ultrasound Applications with Zero-Shot Foundation Models
por: Indelman, Hedda Cohen, et al.
Publicado: (2024)

FetalAgents: A Multi-Agent System for Fetal Ultrasound Image and Video Analysis
por: Hu, Xiaotian, et al.
Publicado: (2026)

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

Med-DualLoRA: Local Adaptation of Foundation Models for 3D Cardiac MRI
por: Perramon-Llussà, Joan, et al.
Publicado: (2026)

Entropy-Guided Agreement-Diversity: A Semi-Supervised Active Learning Framework for Fetal Head Segmentation in Ultrasound
por: Wang, Fangyijie, et al.
Publicado: (2026)

Standardized 2D Ultrasound Sequences for Fetal Cardiac Screening: A Platform for AI Integration
por: Agnieszka Nocun, et al.
Publicado: (2026)

Epistemic-aware Vision-Language Foundation Model for Fetal Ultrasound Interpretation
por: He, Xiao, et al.
Publicado: (2025)

Automating MedSAM by Learning Prompts with Weak Few-Shot Supervision
por: Gaillochet, Mélanie, et al.
Publicado: (2024)

Context-Aware Weakly Supervised Image Manipulation Localization with SAM Refinement
por: Wang, Xinghao, et al.
Publicado: (2025)

Zero-Shot Pseudo Labels Generation Using SAM and CLIP for Semi-Supervised Semantic Segmentation
por: Saito, Nagito, et al.
Publicado: (2025)

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

Benchmarking Ultrasound Foundation Models for Fetal Plane Classification
por: Barrientos, Leya, et al.
Publicado: (2026)

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation
por: Yang, Mingyu, et al.
Publicado: (2025)

Synergistic Ultrasound‐Photo Enhancement of Ferroelectric Catalysis via Molecular Multiferroics
por: Lin‐Yu Zhao, et al.
Publicado: (2025)

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation
por: Wang, Mengzhu, et al.
Publicado: (2025)

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

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

DINOv3
por: Siméoni, Oriane, et al.
Publicado: (2025)

DSU-Net:An Improved U-Net Model Based on DINOv2 and SAM2 with Multi-scale Cross-model Feature Enhancement
por: Xu, Yimin, et al.
Publicado: (2025)

SIE3D: Single-Image Expressive 3D Avatar Generation via Semantic Embedding and Perceptual Expression Loss
por: Huang, Zhiqi, et al.
Publicado: (2025)