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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Ngā kaituhi matua:	Guanqun Sun, Yizhi Pan, Weikun Kong, Zichang Xu, Jianhua Ma, Teeradaj Racharak, Le-Minh Nguyen, Junyi Xin
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	Frontiers Media S.A. 2024-05-01
Rangatū:	Frontiers in Bioengineering and Biotechnology
Ngā marau:	U-net medical image segmentation dual attention transformer deep learning
Urunga tuihono:	https://www.frontiersin.org/articles/10.3389/fbioe.2024.1398237/full
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!