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Sam2Rad: A Segmentation Model for Medical Images with Learnable Prompts

Sam2Rad: A Segmentation Model for Medical Images with Learnable Prompts

10 September 2024
Assefa Seyoum Wahd
B. Felfeliyan
Yuyue Zhou
Shrimanti Ghosh
Adam McArthur
Jiechen Zhang
Jacob L. Jaremko
A. Hareendranathan
    VLMMedIm
ArXiv (abs)PDFHTML

Papers citing "Sam2Rad: A Segmentation Model for Medical Images with Learnable Prompts"

2 / 2 papers shown
Towards Better Ultrasound Video Segmentation Foundation Model: An Empirical study on SAM2 Finetuning from Data Perspective
Towards Better Ultrasound Video Segmentation Foundation Model: An Empirical study on SAM2 Finetuning from Data Perspective
Xing Yao
Ahana Gangopadhyay
Hsi-Ming Chang
Ravi Soni
166
0
0
07 Nov 2025
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
Han Gu
Haoyu Dong
Jichen Yang
Maciej A. Mazurowski
MedImVLM
485
47
0
15 Apr 2024
1
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