Table 6 Comparison of number of parameters, flops and averaged inference time for various models to proposed model.

From: Integrating convolutional and transformer networks for precise diagnosis of watershed and hemorrhagic stroke

Model

#Params(M)

FLOPs(G)

Inference time(s)

TransUNet

96.07

48.34

26.97

UNETR

92.58

41.19

12.08

Proposed model

35.13

78.0

19.5

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