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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,...

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Detalles Bibliográficos
Autores principales: Shen, Longfeng, Wang, Qiong, Zhang, Yingjie, Qin, Fenglan, Jin, Hengjun, Zhao, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
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