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Enhancing the Reliability of Segment Anything Model for Auto-Prompting
  Medical Image Segmentation with Uncertainty Rectification
v1v2v3 (latest)

Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification

17 November 2023
Yichi Zhang
Shiyao Hu
Sijie Ren
Chen Jiang
Yuan Cheng
Yuan Qi
    MedIm
ArXiv (abs)PDFHTML

Papers citing "Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification"

2 / 2 papers shown
Title
Vision-Language Enhanced Foundation Model for Semi-supervised Medical Image Segmentation
Vision-Language Enhanced Foundation Model for Semi-supervised Medical Image Segmentation
Jiaqi Guo
Mingzhen Li
Hanyu Su
Santiago López
Lexiaozi Fan
Daniel Kim
Aggelos K. Katsaggelos
VLM
188
0
0
24 Nov 2025
Brain Imaging Foundation Models, Are We There Yet? A Systematic Review of Foundation Models for Brain Imaging and Biomedical Research
Brain Imaging Foundation Models, Are We There Yet? A Systematic Review of Foundation Models for Brain Imaging and Biomedical Research
Salah Ghamizi
G. Kanli
Yu Deng
Magali Perquin
O. Keunen
MedImAI4CE
273
1
0
16 Jun 2025
1