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DSKCA-UNet: Dynamic selective kernel channel attention for medical image segmentation
U-Net has attained immense popularity owing to its performance in medical image segmentation. However, it cannot be modeled explicitly over remote dependencies. By contrast, the transformer can effectively capture remote dependencies by leveraging the self-attention (SA) of the encoder. Although SA,...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Lippincott Williams & Wilkins
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10545043/ https://www.ncbi.nlm.nih.gov/pubmed/37773842 http://dx.doi.org/10.1097/MD.0000000000035328 |