Automated Stroke Lesion Segmentation in Rat Brain MR Images Using an Encoder-Decoder Framework-Reference-Cited by-同舟云学术

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Automated Stroke Lesion Segmentation in Rat Brain MR Images Using an Encoder-Decoder Framework

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Chang Herng-Hua¹,Yeh Shin-Joe¹,Chiang Ming-Chang²,Hsieh Sung-Tsang³

Affiliation:

1. National Taiwan University,Computational Biomedical Engineering Laboratory (CBEL),Department of Engineering Science and Ocean Engineering,Taipei,Taiwan

2. National Taiwan University Hospital,Department of Neurology and Stroke Center,Taipei,Taiwan

3. National Yang Ming Chiao Tung University,Department of Biomedical Engineering,Taipei,Taiwan

Funder

Ministry of Science and Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10339936/10339939/10340278.pdf?arnumber=10340278

Reference16 articles.

1. Animal models of ischemic stroke and their application in clinical research

2. Preclinical stroke research - advantages and disadvantages of the most common rodent models of focal ischaemia

3. Acute Stroke Brain Infarct Segmentation in DWI Images

4. Automated Ischemic Lesion Segmentation in MRI Mouse Brain Data after Transient Middle Cerebral Artery Occlusion

5. A novel voxel-wise lesion segmentation technique on 3.0-T diffusion MRI of hyperacute focal cerebral ischemia at 1 h after permanent MCAO in rats

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