Table 2 Performance of proposed method
From: MRI-based brain tumor segmentation using FPGA-accelerated neural network
| Dataset | Method | DSC | Execution time | Energy Consumption |
|---|---|---|---|---|
| BraTS19 | GPU method before quantization | 0.873 | 0.78 s | 96 W |
| GPU method after quantization | 0.871 | 0.64 s | 72 W | |
| FPGA method | 0.871 | 0.15 s | 45 W | |
| BraTS20 | GPU method before quantization | 0.885 | 0.78 s | 97 W |
| GPU method after quantization | 0.882 | 0.65 s | 74 W | |
| FPGA method | 0.882 | 0.15 s | 45 W |