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Table 7 Comparison of computational time and memory metrics, for the dataset of aneurysms supplied by the Affiliated Hospital of Qingdao University

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

Method

Parameters

Train time (s)

Test time (s)

 < 3 mm

3–7 mm

 > 7 mm

  HeadXNet [29]

101.59 M

423.67

2.01

1.85

1.92

  DeepMedic [32]

2.51 M

396.14

1.41

1.25

1.33

  GLIA-Net [33]

49.95 M

379.31

2.09

1.86

1.92

  DAResUNet [30]

71.97 M

425.85

1.52

1.54

1.51

  U-Net [36]

5.01 M

367.04

1.41

1.37

1.41

  Ours

38.35 M

400.74

1.38

1.26

1.36