Evaluation of the Segment Anything Model (SAM) for Brain Tumor Segmentation-Reference-Cited by-同舟云学术

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Evaluation of the Segment Anything Model (SAM) for Brain Tumor Segmentation

Published:2024-05-27 Issue: Volume: Page:1-4
ISSN:
Container-title:2024 IEEE International Symposium on Biomedical Imaging (ISBI)
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Author:

Peivandi Mohammad¹,Zhang Jason²,Lu Michael³,Li Chengyin⁴,Zhu Dongxiao⁴,Kou Zhifeng¹

Affiliation:

1. Wayne State University,Department of Biomedical Engineering,Detroit,MI,United States

2. Canton High School,Canton,MI,United States

3. Phillips Exeter Academy,Exeter,NH,United States

4. Wayne State University,Department of Computer Science,Detroit,MI,United States

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10635099/10635102/10635848.pdf?arnumber=10635848

Reference11 articles.

1. The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

2. Accuracy of segment-anything model (sam) in medical image segmentation tasks;He,2023

3. Zero-Shot Performance of the Segment Anything Model (SAM) in 2D Medical Imaging: A Comprehensive Evaluation and Practical Guidelines

4. Combined Features in Region of Interest for Brain Tumor Segmentation

5. MRI brain tumor segmentation and prediction using modified region growing and adaptive SVM

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