Visual Computing for Industry, Biomedicine, and Art

Table 4 Comparison of the proposed model with other attention modules

From: DCAU-Net: dense convolutional attention U-Net for segmentation of intracranial aneurysm images

Model	Dice	Sensitivity	Specificity	Precision
SENet [45]	0.6849	0.6206	0.9995	0.6764
SKNet [46]	0.6756	0.6172	0.9995	0.6915
BAMNet [47]	0.7451	0.7099	0.9997	0.7593
Ours	0.7455	0.7881	0.9996	0.7881

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