GuiDINO: Rethinking Vision Foundation Model in Medical Image Segmentation
Fuente:
arXiv
Saved in:
| Main Authors: | Liang, Zhuonan, Guo, Wei, Gan, Jie, Song, Yaxuan, Chen, Runnan, Chang, Hang, Cai, Weidong |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Gene-DML: Dual-Pathway Multi-Level Discrimination for Gene Expression Prediction from Histopathology Images
by: Song, Yaxuan, et al.
Published: (2025)
by: Song, Yaxuan, et al.
Published: (2025)
On the Theory of Conditional Feature Alignment for Unsupervised Domain-Adaptive Counting
by: Liang, Zhuonan, et al.
Published: (2025)
by: Liang, Zhuonan, et al.
Published: (2025)
The Collapse of Patches
by: Guo, Wei, et al.
Published: (2025)
by: Guo, Wei, et al.
Published: (2025)
SegDINO: An Efficient Design for Medical and Natural Image Segmentation with DINO-V3
by: Yang, Sicheng, et al.
Published: (2025)
by: Yang, Sicheng, et al.
Published: (2025)
ReferDINO: Referring Video Object Segmentation with Visual Grounding Foundations
by: Liang, Tianming, et al.
Published: (2025)
by: Liang, Tianming, et al.
Published: (2025)
Continual Alignment for SAM: Rethinking Foundation Models for Medical Image Segmentation in Continual Learning
by: Wang, Jiayi, et al.
Published: (2025)
by: Wang, Jiayi, et al.
Published: (2025)
RNA-FM: Flow-Matching Generative Model for Genome-wide RNA-Seq Prediction
by: Song, Yaxuan, et al.
Published: (2026)
by: Song, Yaxuan, et al.
Published: (2026)
Task-Specific Knowledge Distillation from the Vision Foundation Model for Enhanced Medical Image Segmentation
by: Liang, Pengchen, et al.
Published: (2025)
by: Liang, Pengchen, et al.
Published: (2025)
Vision-Language Enhanced Foundation Model for Semi-supervised Medical Image Segmentation
by: Guo, Jiaqi, et al.
Published: (2025)
by: Guo, Jiaqi, et al.
Published: (2025)
Medical Image Registration Meets Vision Foundation Model: Prototype Learning and Contour Awareness
by: Xu, Hao, et al.
Published: (2025)
by: Xu, Hao, et al.
Published: (2025)
Multi-source-free Domain Adaptation via Uncertainty-aware Adaptive Distillation
by: Song, Yaxuan, et al.
Published: (2024)
by: Song, Yaxuan, et al.
Published: (2024)
DINO in the Room: Leveraging 2D Foundation Models for 3D Segmentation
by: Knaebel, Karim, et al.
Published: (2025)
by: Knaebel, Karim, et al.
Published: (2025)
Learning to Generalize over Subpartitions for Heterogeneity-aware Domain Adaptive Nuclei Segmentation
by: Fan, Jianan, et al.
Published: (2024)
by: Fan, Jianan, et al.
Published: (2024)
Vision Foundation Models in Medical Image Analysis: Advances and Challenges
by: Liang, Pengchen, et al.
Published: (2025)
by: Liang, Pengchen, et al.
Published: (2025)
DINO-R1: Incentivizing Reasoning Capability in Vision Foundation Models
by: Pan, Chenbin, et al.
Published: (2025)
by: Pan, Chenbin, et al.
Published: (2025)
Sequential Spatial-Temporal Network for Interpretable Automatic Ultrasonic Assessment of Fetal Head during labor
by: Gan, Jie, et al.
Published: (2025)
by: Gan, Jie, et al.
Published: (2025)
H-vmunet: High-order Vision Mamba UNet for Medical Image Segmentation
by: Wu, Renkai, et al.
Published: (2024)
by: Wu, Renkai, et al.
Published: (2024)
SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models
by: Zhang, Yichi, et al.
Published: (2025)
by: Zhang, Yichi, et al.
Published: (2025)
SpectraDINO: Bridging the Spectral Gap in Vision Foundation Models via Lightweight Adapters
by: Nalcakan, Yagiz, et al.
Published: (2026)
by: Nalcakan, Yagiz, et al.
Published: (2026)
DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models
by: He, Xunjie, et al.
Published: (2025)
by: He, Xunjie, et al.
Published: (2025)
Curriculum Prompting Foundation Models for Medical Image Segmentation
by: Zheng, Xiuqi, et al.
Published: (2024)
by: Zheng, Xiuqi, et al.
Published: (2024)
Vision-Language Semantic Aggregation Leveraging Foundation Model for Generalizable Medical Image Segmentation
by: Yu, Wenjun, et al.
Published: (2025)
by: Yu, Wenjun, et al.
Published: (2025)
3D-EffiViTCaps: 3D Efficient Vision Transformer with Capsule for Medical Image Segmentation
by: Gan, Dongwei, et al.
Published: (2024)
by: Gan, Dongwei, et al.
Published: (2024)
DINO-MVR: Multi-View Readout of Frozen DINOv3 for Annotation-Efficient Medical Segmentation
by: Jiang, Wei, et al.
Published: (2026)
by: Jiang, Wei, et al.
Published: (2026)
DINO-Mix: Distilling Foundational Knowledge with Cross-Domain CutMix for Semi-supervised Class-imbalanced Medical Image Segmentation
by: Liu, Xinyu, et al.
Published: (2026)
by: Liu, Xinyu, et al.
Published: (2026)
TM-UNet: Token-Memory Enhanced Sequential Modeling for Efficient Medical Image Segmentation
by: Jiao, Yaxuan, et al.
Published: (2025)
by: Jiao, Yaxuan, et al.
Published: (2025)
Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?
by: Cekmeceli, Kerem, et al.
Published: (2024)
by: Cekmeceli, Kerem, et al.
Published: (2024)
Are Vision Foundation Models Foundational for Electron Microscopy Image Segmentation?
by: Fuster-Barceló, Caterina, et al.
Published: (2026)
by: Fuster-Barceló, Caterina, et al.
Published: (2026)
DINO-Tok: Adapting DINO for Visual Tokenizers
by: Jia, Mingkai, et al.
Published: (2025)
by: Jia, Mingkai, et al.
Published: (2025)
AD-DINO: Attention-Dynamic DINO for Distance-Aware Embodied Reference Understanding
by: Guo, Hao, et al.
Published: (2024)
by: Guo, Hao, et al.
Published: (2024)
Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection
by: Liu, Shilong, et al.
Published: (2023)
by: Liu, Shilong, et al.
Published: (2023)
Back to the Features: DINO as a Foundation for Video World Models
by: Baldassarre, Federico, et al.
Published: (2025)
by: Baldassarre, Federico, et al.
Published: (2025)
Adapting a Segmentation Foundation Model for Medical Image Classification
by: Gu, Pengfei, et al.
Published: (2025)
by: Gu, Pengfei, et al.
Published: (2025)
Foundation Model-guided Iteratively Prompting and Pseudo-Labeling for Partially Labeled Medical Image Segmentation
by: Zhao, Qiaochu, et al.
Published: (2026)
by: Zhao, Qiaochu, et al.
Published: (2026)
Foundation AI Model for Medical Image Segmentation
by: Bao, Rina, et al.
Published: (2024)
by: Bao, Rina, et al.
Published: (2024)
MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation
by: Xu, Caixu, et al.
Published: (2025)
by: Xu, Caixu, et al.
Published: (2025)
Lens: Rethinking Training Efficiency for Foundational Text-to-Image Models
by: Chen, Dong, et al.
Published: (2026)
by: Chen, Dong, et al.
Published: (2026)
Boosting Medical Image Classification with Segmentation Foundation Model
by: Gu, Pengfei, et al.
Published: (2024)
by: Gu, Pengfei, et al.
Published: (2024)
VM-UNET-V2 Rethinking Vision Mamba UNet for Medical Image Segmentation
by: Zhang, Mingya, et al.
Published: (2024)
by: Zhang, Mingya, et al.
Published: (2024)
Medical SAM3: A Foundation Model for Universal Prompt-Driven Medical Image Segmentation
by: Jiang, Chongcong, et al.
Published: (2026)
by: Jiang, Chongcong, et al.
Published: (2026)
Similar Items
-
Gene-DML: Dual-Pathway Multi-Level Discrimination for Gene Expression Prediction from Histopathology Images
by: Song, Yaxuan, et al.
Published: (2025) -
On the Theory of Conditional Feature Alignment for Unsupervised Domain-Adaptive Counting
by: Liang, Zhuonan, et al.
Published: (2025) -
The Collapse of Patches
by: Guo, Wei, et al.
Published: (2025) -
SegDINO: An Efficient Design for Medical and Natural Image Segmentation with DINO-V3
by: Yang, Sicheng, et al.
Published: (2025) -
ReferDINO: Referring Video Object Segmentation with Visual Grounding Foundations
by: Liang, Tianming, et al.
Published: (2025)