首页|期刊导航|自动化学报(英文版)|High-Order Interaction and Low-Order Paralleliza-tion of Features Fusion With Novel Mamba-UNet Architecture for Medical Image Segmentation
自动化学报(英文版)2026,Vol.13Issue(6):1378-1391,14.DOI:10.1109/JAS.2026.125720
High-Order Interaction and Low-Order Paralleliza-tion of Features Fusion With Novel Mamba-UNet Architecture for Medical Image Segmentation
High-Order Interaction and Low-Order Paralleliza-tion of Features Fusion With Novel Mamba-UNet Architecture for Medical Image Segmentation
摘要
关键词
2D-selective-scan(SS2D)/deep learning/high-low-order feature fusion(HLFF)/Mamba/medical image segmentation/state-space modelsKey words
2D-selective-scan(SS2D)/deep learning/high-low-order feature fusion(HLFF)/Mamba/medical image segmentation/state-space models引用本文复制引用
Qianhang Du,Zhenyu Lei,Jiujun Cheng,Masaaki Omura,Hideyuki Hasegawa,Shangce Gao..High-Order Interaction and Low-Order Paralleliza-tion of Features Fusion With Novel Mamba-UNet Architecture for Medical Image Segmentation[J].自动化学报(英文版),2026,13(6):1378-1391,14.基金项目
This research was partially supported by the Japan Society for the Promotion of Science(JSPS)KAKENHI(JP25K21298,JP25K03179),and Japan Science and Technology Agency(JST)Support for Pioneering Research Initiated by the Next Generation(SPRING)(JPMJSP2145). (JSPS)