Imagen de Portada

nnSAM2: nnUNet-Enhanced One-Prompt SAM2 for Few-shot Multi-Modality Segmentation and Composition Analysis of Lumbar Paraspinal Muscles

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhang, Zhongyi, Hides, Julie A., De Martino, Enrico, Fofanah, Abdul Joseph, Tuxworth, Gervase
Formato:	Preprint
Publicado:	2025
Materias:	Image and Video Processing Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

nnSAM: Plug-and-play Segment Anything Model Improves nnUNet Performance
por: Li, Yunxiang, et al.
Publicado: (2023)

Segmenting Medical Images: From UNet to Res-UNet and nnUNet
por: Huang, Lina, et al.
Publicado: (2024)

Plug‐and‐play segment anything model improves nnUNet performance
por: Yunxiang Li, et al.
Publicado: (2024)

Topology-Constrained Quantized nnUNet for Efficient and Anatomically Accurate 3D Tooth Segmentation
por: Prasad, Paarth, et al.
Publicado: (2026)

Comparative Analysis of nnUNet and MedNeXt for Head and Neck Tumor Segmentation in MRI-guided Radiotherapy
por: Moradi, Nikoo, et al.
Publicado: (2024)

Autopet Challenge 2023: nnUNet-based whole-body 3D PET-CT Tumour Segmentation
por: Alloula, Anissa, et al.
Publicado: (2023)

Autopet III challenge: Incorporating anatomical knowledge into nnUNet for lesion segmentation in PET/CT
por: Kalisch, Hamza, et al.
Publicado: (2024)

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

Vision and Language Reference Prompt into SAM for Few-shot Segmentation
por: Sakurai, Kosuke, et al.
Publicado: (2025)

Rel-UNet: Reliable Tumor Segmentation via Uncertainty Quantification in nnU-Net
por: Ziaee, Seyed Sina, et al.
Publicado: (2025)

Deep Learning Myocardial Segmentation in 3D Whole‐Heart Joint T1/T2 Mapping: Comparison of nnU‐Net and MA‐SAM
por: G. Carlota Rivera, et al.
Publicado: (2026)

CMaP-SAM: Contraction Mapping Prior for SAM-driven Few-shot Segmentation
por: Chen, Shuai, et al.
Publicado: (2025)

CRISP-SAM2: SAM2 with Cross-Modal Interaction and Semantic Prompting for Multi-Organ Segmentation
por: Yu, Xinlei, et al.
Publicado: (2025)

Adaptive Prompt Learning with SAM for Few-shot Scanning Probe Microscope Image Segmentation
por: Shen, Yao, et al.
Publicado: (2024)

Scaling nnU-Net for CBCT Segmentation
por: Isensee, Fabian, et al.
Publicado: (2024)

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

GeoSAM: Fine-tuning SAM with Multi-Modal Prompts for Mobility Infrastructure Segmentation
por: Sultan, Rafi Ibn, et al.
Publicado: (2023)

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation
por: Xinyi, Wang, et al.
Publicado: (2025)

DiffuSAM: Diffusion-Based Prompt-Free SAM2 for Few-Shot and Source-Free Medical Image Segmentation
por: Grossman, Tal, et al.
Publicado: (2026)

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

Focus on Background: Exploring SAM's Potential in Few-shot Medical Image Segmentation with Background-centric Prompting
por: Bo, Yuntian, et al.
Publicado: (2026)

SAM-IF: Leveraging SAM for Incremental Few-Shot Instance Segmentation
por: Zhou, Xudong, et al.
Publicado: (2024)

nnInteractive: Redefining 3D Promptable Segmentation
por: Isensee, Fabian, et al.
Publicado: (2025)

Unlocking the Power of SAM 2 for Few-Shot Segmentation
por: Xu, Qianxiong, et al.
Publicado: (2025)

OpenWorldSAM: Extending SAM2 for Universal Image Segmentation with Language Prompts
por: Xiao, Shiting, et al.
Publicado: (2025)

SAM-CP: Marrying SAM with Composable Prompts for Versatile Segmentation
por: Chen, Pengfei, et al.
Publicado: (2024)

SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation
por: Xiong, Xinyu, et al.
Publicado: (2024)

Left Atrial Segmentation with nnU-Net Using MRI
por: Hosseinabadi, Fatemeh, et al.
Publicado: (2025)

RFMedSAM 2: Automatic Prompt Refinement for Enhanced Volumetric Medical Image Segmentation with SAM 2
por: Xie, Bin, et al.
Publicado: (2025)

3D-U-SAM Network For Few-shot Tooth Segmentation in CBCT Images
por: Zhang, Yifu, et al.
Publicado: (2023)

SSP-SAM: SAM with Semantic-Spatial Prompt for Referring Expression Segmentation
por: Tang, Wei, et al.
Publicado: (2026)

PA-SAM: Prompt Adapter SAM for High-Quality Image Segmentation
por: Xie, Zhaozhi, et al.
Publicado: (2024)

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception
por: Huo, Guohao, et al.
Publicado: (2025)

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

SAM3-UNet: Simplified Adaptation of Segment Anything Model 3
por: Xiong, Xinyu, et al.
Publicado: (2025)

Auto-nnU-Net: Towards Automated Medical Image Segmentation
por: Becktepe, Jannis, et al.
Publicado: (2025)

Automated Prostate Gland Segmentation in MRI Using nnU-Net
por: Rodriguez-Belenguer, Pablo, et al.
Publicado: (2026)

Federated nnU-Net for Privacy-Preserving Medical Image Segmentation
por: Skorupko, Grzegorz, et al.
Publicado: (2025)

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

Association Between Degeneration of the Paraspinal Muscles and Nerve Root Compression in Lumbar Disc Herniation Patients Who Underwent Percutaneous Endoscopic Lumbar Discectomy
por: Siming Xian, et al.
Publicado: (2026)