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Attention-augmented U-Net (AA-U-Net) for semantic segmentation
Deep learning-based image segmentation models rely strongly on capturing sufficient spatial context without requiring complex models that are hard to train with limited labeled data. For COVID-19 infection segmentation on CT images, training data are currently scarce. Attention models, in particular...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer London
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9311338/ https://www.ncbi.nlm.nih.gov/pubmed/35910403 http://dx.doi.org/10.1007/s11760-022-02302-3 |