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Multi-Scale Squeeze U-SegNet with Multi Global Attention for Brain MRI Segmentation
In this paper, we propose a multi-scale feature extraction with novel attention-based convolutional learning using the U-SegNet architecture to achieve segmentation of brain tissue from a magnetic resonance image (MRI). Although convolutional neural networks (CNNs) show enormous growth in medical im...
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| Publicado no: | Sensors (Basel) |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8151599/ https://ncbi.nlm.nih.gov/pubmed/34066042 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21103363 |
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