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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8151599/ https://www.ncbi.nlm.nih.gov/pubmed/34066042 http://dx.doi.org/10.3390/s21103363 |