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Table 6 Comparison of different channel and spatial attention pooling methods

From: Diffusion-CSPAM U-Net: A U-Net model integrated hybrid attention mechanism and diffusion model for segmentation of computed tomography images of brain metastases

Methods

DSC (%)

IoU (%)

Params (M)

GFLOPs (G)

CSPAM-U-Net (AvgPool)

72.8%

61.3%

32.30 M

52.39G

CSPAM-U-Net (MaxPool)

71.2%

60.4%

32.30 M

56.87G

CSPAM-U-Net (AvgPool & MaxPool)

75.6%

65.6%

32.30 M

58.05G

  1. DSC, Dice Coefficient; IoU, Intersection over Union; Params, Parameters; GFLOPs, Giga Floating-point Operations Per Second