基于双阶段注意力机制与可逆变换的医学图像融合
沈瑜,袁祯,刘佳英,白珊,强振凯

Medical image fusion based on dual-stage attention mechanism and invertible transformation
Yu SHEN,Zhen YUAN,Jiaying LIU,Shan BAI,Zhenkai QIANG
表 2 模型大小、FLOPs与推理时间的比较
Tab.2 Comparison of model size, FLOPs and inference time
方法设备Sm/kBFLOPs/109tt/s
MATRGPU861.9480.046
CDDFuseGPU471239.1660.050
EMMAGPU60438.8620.048
SwinFusionGPU7747127.4612.386
MMAEGPU91420.3271.313
BSAFusionGPU3934851.4320.270
FATFusionGPU3043888.9302.724
MBHFuseGPU12020.7370.513
CrossFuseGPU49145.0371.180
本文方法GPU11370.2080.039