DualA-Net: A generalizable and adaptive network with dual-branch encoder for medical image segmentation

•Improved cost-effective U-type deep learning model for medical image segmentation.•Dual-branch encoder enhance the extraction of semantic information from input images.•Mutations facilitates more flexible and comprehensive feature fusion.•Generalizable model with fewer parameters, lower computation...

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Veröffentlicht in:	Computer methods and programs in biomedicine 2024-01, Vol.243, p.107877, Article 107877
Hauptverfasser:	Zhang, Yuanyuan, Han, Ziyi, Liu, Lin, Wang, Shudong
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive receptive field Dual-branch encoder Medical image segmentation Skip connections U-Net
Online-Zugang:	Volltext
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