Table 10. Analysis of the computation complexity.
| Method | Trainable parameters (M) | GFLOPs | Inference time (s/image) | Training time (h) |
|---|---|---|---|---|
| MT | 5.97 | 7.77 | 0.44 | 11.5 |
| DT | 16.37 | 9.03 | 0.13 | 7.25 |
Training time is the average of the training time spent on the 2 datasets. GFLOPs, Giga Floating point Operations Per Second; MT, medical transformer; DT, dilated transformer.