DA-TransUNet: integrating spatial and channel dual attention with transformer U-net for medical image segmentation

Accurate medical image segmentation is critical for disease quantification and treatment evaluation. While traditional U-Net architectures and their transformer-integrated variants excel in automated segmentation tasks. Existing models also struggle with parameter efficiency and computational comple...

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Detalhes bibliográficos

Principais autores:	Guanqun Sun, Yizhi Pan, Weikun Kong, Zichang Xu, Jianhua Ma, Teeradaj Racharak, Le-Minh Nguyen, Junyi Xin
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2024-05-01
coleção:	Frontiers in Bioengineering and Biotechnology
Assuntos:	U-net medical image segmentation dual attention transformer deep learning
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fbioe.2024.1398237/full
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