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Dino U-Net: Exploiting High-Fidelity Dense Features from Foundation Models for Medical Image Segmentation

Dino U-Net: Exploiting High-Fidelity Dense Features from Foundation Models for Medical Image Segmentation

28 August 2025
Yifan Gao
Haoyue Li
Feng Yuan
Xiaosong Wang
Xin Gao
    MedImAI4CE
ArXiv (abs)PDFHTMLGithub (136★)

Papers citing "Dino U-Net: Exploiting High-Fidelity Dense Features from Foundation Models for Medical Image Segmentation"

3 / 3 papers shown
Title
Generalist versus Specialist Vision Foundation Models for Ocular Disease and Oculomics
Generalist versus Specialist Vision Foundation Models for Ocular Disease and Oculomics
Yukun Zhou
Paul Nderitu
Jocelyn Hui Lin Goh
Justin Engelmann
S. Wagner
...
Carol Y Cheung
T. Y. Wong
Daniel C. Alexander
Yih-Chung Tham
P. Keane
MedImVLM
0
0
0
03 Sep 2025
MedDINOv3: How to adapt vision foundation models for medical image segmentation?
MedDINOv3: How to adapt vision foundation models for medical image segmentation?
Yuheng Li
Yizhou Wu
Yuxiang Lai
Mingzhe Hu
Xiaofeng Yang
MedIm
0
1
0
02 Sep 2025
SegDINO: An Efficient Design for Medical and Natural Image Segmentation with DINO-V3
SegDINO: An Efficient Design for Medical and Natural Image Segmentation with DINO-V3
Sicheng Yang
Hongqiu Wang
Zhaohu Xing
Sixiang Chen
Lei Zhu
20
1
0
31 Aug 2025
1