Optimization of MedSAM model based on bounding box adaptive perturbation algorithm
Fuente:
arXiv
Guardado en:
| Autores principales: | Li, Boyi, Yuan, Ye, Tan, Wenjun |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
MedSAM-U: Uncertainty-Guided Auto Multi-Prompt Adaptation for Reliable MedSAM
por: Zhou, Nan, et al.
Publicado: (2024)
por: Zhou, Nan, et al.
Publicado: (2024)
Challenge Summary U-MedSAM: Uncertainty-aware MedSAM for Medical Image Segmentation
por: Wang, Xin, et al.
Publicado: (2024)
por: Wang, Xin, et al.
Publicado: (2024)
MedCore: Boundary-Preserving Medical Core Pruning for MedSAM
por: Zhang, Cenwei, et al.
Publicado: (2026)
por: Zhang, Cenwei, et al.
Publicado: (2026)
Automating MedSAM by Learning Prompts with Weak Few-Shot Supervision
por: Gaillochet, Mélanie, et al.
Publicado: (2024)
por: Gaillochet, Mélanie, et al.
Publicado: (2024)
I-MedSAM: Implicit Medical Image Segmentation with Segment Anything
por: Wei, Xiaobao, et al.
Publicado: (2023)
por: Wei, Xiaobao, et al.
Publicado: (2023)
MedSAM3: Delving into Segment Anything with Medical Concepts
por: Liu, Anglin, et al.
Publicado: (2025)
por: Liu, Anglin, et al.
Publicado: (2025)
MedSAM-based lung masking for multi-label chest X-ray classification
por: Miao, Brayden, et al.
Publicado: (2025)
por: Miao, Brayden, et al.
Publicado: (2025)
MedSAM-Agent: Empowering Interactive Medical Image Segmentation with Multi-turn Agentic Reinforcement Learning
por: Liu, Shengyuan, et al.
Publicado: (2026)
por: Liu, Shengyuan, et al.
Publicado: (2026)
SSL-MedSAM2: A Semi-supervised Medical Image Segmentation Framework Powered by Few-shot Learning of SAM2
por: Gong, Zhendi, et al.
Publicado: (2025)
por: Gong, Zhendi, et al.
Publicado: (2025)
MedSAM2: Segment Anything in 3D Medical Images and Videos
por: Ma, Jun, et al.
Publicado: (2025)
por: Ma, Jun, et al.
Publicado: (2025)
MCP-MedSAM: A Powerful Lightweight Medical Segment Anything Model Trained with a Single GPU in Just One Day
por: Lyu, Donghang, et al.
Publicado: (2024)
por: Lyu, Donghang, et al.
Publicado: (2024)
Point-supervised Brain Tumor Segmentation with Box-prompted MedSAM
por: Liu, Xiaofeng, et al.
Publicado: (2024)
por: Liu, Xiaofeng, et al.
Publicado: (2024)
MedSAM-CA: A CNN-Augmented ViT with Attention-Enhanced Multi-Scale Fusion for Medical Image Segmentation
por: Tian, Peiting, et al.
Publicado: (2025)
por: Tian, Peiting, et al.
Publicado: (2025)
Efficient MedSAMs: Segment Anything in Medical Images on Laptop
por: Ma, Jun, et al.
Publicado: (2024)
por: Ma, Jun, et al.
Publicado: (2024)
SSR: SAM is a Strong Regularizer for domain adaptive semantic segmentation
por: Ge, Yanqi, et al.
Publicado: (2024)
por: Ge, Yanqi, et al.
Publicado: (2024)
Federated Fine-tuning of SAM-Med3D for MRI-based Dementia Classification
por: Mouheb, Kaouther, et al.
Publicado: (2025)
por: Mouheb, Kaouther, et al.
Publicado: (2025)
Black-box Targeted Adversarial Attack on Segment Anything (SAM)
por: Zheng, Sheng, et al.
Publicado: (2023)
por: Zheng, Sheng, et al.
Publicado: (2023)
SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images
por: Wang, Haoyu, et al.
Publicado: (2023)
por: Wang, Haoyu, et al.
Publicado: (2023)
WeakMedSAM: Weakly-Supervised Medical Image Segmentation via SAM with Sub-Class Exploration and Prompt Affinity Mining
por: Wang, Haoran, et al.
Publicado: (2025)
por: Wang, Haoran, et al.
Publicado: (2025)
SAM-based instance segmentation models for the automation of structural damage detection
por: Ye, Zehao, et al.
Publicado: (2024)
por: Ye, Zehao, et al.
Publicado: (2024)
3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation
por: Gong, Shizhan, et al.
Publicado: (2023)
por: Gong, Shizhan, et al.
Publicado: (2023)
MedDINOv3: How to adapt vision foundation models for medical image segmentation?
por: Li, Yuheng, et al.
Publicado: (2025)
por: Li, Yuheng, et al.
Publicado: (2025)
SAM-Swin: SAM-Driven Dual-Swin Transformers with Adaptive Lesion Enhancement for Laryngo-Pharyngeal Tumor Detection
por: Wei, Jia, et al.
Publicado: (2024)
por: Wei, Jia, et al.
Publicado: (2024)
BLO-SAM: Bi-level Optimization Based Overfitting-Preventing Finetuning of SAM
por: Zhang, Li, et al.
Publicado: (2024)
por: Zhang, Li, et al.
Publicado: (2024)
RobustMedSAM: Degradation-Resilient Medical Image Segmentation via Robust Foundation Model Adaptation
por: Li, Jieru, et al.
Publicado: (2026)
por: Li, Jieru, et al.
Publicado: (2026)
DescriptorMedSAM: Language-Image Fusion with Multi-Aspect Text Guidance for Medical Image Segmentation
por: Zhang, Wenjie, et al.
Publicado: (2025)
por: Zhang, Wenjie, et al.
Publicado: (2025)
Multimodal SAM-adapter for Semantic Segmentation
por: Curti, Iacopo, et al.
Publicado: (2025)
por: Curti, Iacopo, et al.
Publicado: (2025)
SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation
por: Wang, Guoan, et al.
Publicado: (2024)
por: Wang, Guoan, et al.
Publicado: (2024)
IP-SAM: Prompt-Space Conditioning for Prompt-Absent Camouflaged Object Detection
por: Zhang, Huiyao, et al.
Publicado: (2026)
por: Zhang, Huiyao, et al.
Publicado: (2026)
Prompt learning with bounding box constraints for medical image segmentation
por: Gaillochet, Mélanie, et al.
Publicado: (2025)
por: Gaillochet, Mélanie, et al.
Publicado: (2025)
Evaluating SAM2's Role in Camouflaged Object Detection: From SAM to SAM2
por: Tang, Lv, et al.
Publicado: (2024)
por: Tang, Lv, et al.
Publicado: (2024)
SAM2-3dMed: Empowering SAM2 for 3D Medical Image Segmentation
por: Yang, Yeqing, et al.
Publicado: (2025)
por: Yang, Yeqing, et al.
Publicado: (2025)
Med-K2N: Flexible K-to-N Modality Translation for Medical Image Synthesis
por: Yuan, Feng, et al.
Publicado: (2025)
por: Yuan, Feng, et al.
Publicado: (2025)
SemiSAM: Enhancing Semi-Supervised Medical Image Segmentation via SAM-Assisted Consistency Regularization
por: Zhang, Yichi, et al.
Publicado: (2023)
por: Zhang, Yichi, et al.
Publicado: (2023)
EMA-SAM: Exponential Moving-average for SAM-based PTMC Segmentation
por: Dialameh, Maryam, et al.
Publicado: (2025)
por: Dialameh, Maryam, et al.
Publicado: (2025)
VRP-SAM: SAM with Visual Reference Prompt
por: Sun, Yanpeng, et al.
Publicado: (2024)
por: Sun, Yanpeng, et al.
Publicado: (2024)
ET-SAM: Efficient Point Prompt Prediction in SAM for Unified Scene Text Detection and Layout Analysis
por: Zhang, Xike, et al.
Publicado: (2026)
por: Zhang, Xike, et al.
Publicado: (2026)
EdgeSAM: Prompt-In-the-Loop Distillation for SAM
por: Zhou, Chong, et al.
Publicado: (2023)
por: Zhou, Chong, et al.
Publicado: (2023)
SatSAM2: Motion-Constrained Video Object Tracking in Satellite Imagery using Promptable SAM2 and Kalman Priors
por: Fan, Ruijie, et al.
Publicado: (2025)
por: Fan, Ruijie, et al.
Publicado: (2025)
HiM2SAM: Enhancing SAM2 with Hierarchical Motion Estimation and Memory Optimization towards Long-term Tracking
por: Chen, Ruixiang, et al.
Publicado: (2025)
por: Chen, Ruixiang, et al.
Publicado: (2025)
Ejemplares similares
-
MedSAM-U: Uncertainty-Guided Auto Multi-Prompt Adaptation for Reliable MedSAM
por: Zhou, Nan, et al.
Publicado: (2024) -
Challenge Summary U-MedSAM: Uncertainty-aware MedSAM for Medical Image Segmentation
por: Wang, Xin, et al.
Publicado: (2024) -
MedCore: Boundary-Preserving Medical Core Pruning for MedSAM
por: Zhang, Cenwei, et al.
Publicado: (2026) -
Automating MedSAM by Learning Prompts with Weak Few-Shot Supervision
por: Gaillochet, Mélanie, et al.
Publicado: (2024) -
I-MedSAM: Implicit Medical Image Segmentation with Segment Anything
por: Wei, Xiaobao, et al.
Publicado: (2023)