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Automatic segmentation of the brain stroke lesions from MR flair scans using improved U-net framework

  • Published:2022-09 Issue: Volume:78 Page:103978
  • ISSN:1746-8094
  • Container-title:Biomedical Signal Processing and Control
  • language:en
  • Short-container-title:Biomedical Signal Processing and Control

Author:

Khezrpour Samrand,Seyedarabi Hadi,Razavi Seyed Naser,Farhoudi Mehdi

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference29 articles.

1. “The top 10 causes of death. [Cited 13 Dec 2020]. Available: https://www.who.int/News-room/fact- sheets/detail/the- top- 10- causes- of- death.”.

2. Automatic detection of acute ischemic stroke using non-contrast computed tomography and two-stage deep learning model;Nishio;Comput. Methods Programs Biomed.,2020

3. Attention convolutional neural network for accurate segmentation and quantification of lesions in ischemic stroke disease;Liu;Med. Image Anal.,2020

4. Automatic Segmentation of Acute Ischemic Stroke From DWI Using 3-D Fully Convolutional DenseNets;Zhang;IEEE Trans. Med. Imaging,2018

5. Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration;Wardlaw;Lancet Neurol.,2013

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1. Efficient Attention-guided Transformer for brain stroke segmentation;Proceedings of the 2024 9th International Conference on Multimedia and Image Processing;2024-04-20

2. Enhanced Detection of White Matter Hyperintensities via Deep Learning-Enabled MR Imaging Segmentation;Traitement du Signal;2024-02-29

3. Segmentation of Ischemic stroke in Brain DWI MRI;2024 International Conference on Emerging Systems and Intelligent Computing (ESIC);2024-02-09

4. Models to Identify Small Brain White Matter Hyperintensities Lesions;2024

5. Segmentation of Hemorrhagic stroke in Brain MR Image;2023 First International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI);2023-10-19
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