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...

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Detalles Bibliográficos
Autores principales: Rajamani, Kumar T., Rani, Priya, Siebert, Hanna, ElagiriRamalingam, Rajkumar, Heinrich, Mattias P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2022
Materias:
Original Paper
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

Internet

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

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