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Cross-modality Attention Adapter: A Glioma Segmentation Fine-tuning
  Method for SAM Using Multimodal Brain MR Images

Cross-modality Attention Adapter: A Glioma Segmentation Fine-tuning Method for SAM Using Multimodal Brain MR Images

3 July 2023
Xiaoyu Shi
Shurong Chai
Yinhao Li
Jingliang Cheng
J. Bai
Guohua Zhao
Yen-Wei Chen
ArXivPDFHTML

Papers citing "Cross-modality Attention Adapter: A Glioma Segmentation Fine-tuning Method for SAM Using Multimodal Brain MR Images"

3 / 3 papers shown
Title
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 Mazurowski
MedIm
VLM
80
14
0
15 Apr 2024
Segment Any Medical Model Extended
Segment Any Medical Model Extended
Yihao Liu
Jiaming Zhang
Andres Diaz-Pinto
Haowei Li
A. Martin-Gomez
Amir Kheradmand
Mehran Armand
VLM
MedIm
25
7
0
26 Mar 2024
Customized Segment Anything Model for Medical Image Segmentation
Customized Segment Anything Model for Medical Image Segmentation
Kaiwen Zhang
Dong Liu
MedIm
VLM
106
288
0
26 Apr 2023
1