Medical Image Segmentation on Efficiency Analysis
18.9Params (M)CENet
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| CENet2024.05 | 18.9 | 10.5 | — | |
| MSRFNet2024.05 | 22.5 | 73.8 | — | |
| DCSAUNet2024.05 | 25.9 | 24.3 | — | |
| M2SNet2024.05 | 26.5 | 32.1 | — | |
| FAMNetHardware=NVIDIA A6000 GPU2026.05 | 29.7 | 22.72 | 86.32 | |
| MADGNet2024.05 | 31.4 | 24 | — | |
| HiFormer2024.05 | 34.1 | 24.9 | — | |
| UNet2024.05 | 34.5 | 10.1 | — | |
| AttUNet2024.05 | 35.6 | 13.8 | — | |
| UNet++2024.05 | 36.6 | 22.9 | — | |
| FRCUNet2024.05 | 40.8 | 13.4 | — | |
| RobustEMDHardware=NVIDIA A6000 GPU2026.05 | 42.1 | 89.32 | 168.45 | |
| GeoProtoHardware=NVIDIA A6000 GPU2026.05 | 43.4 | 12.87 | 112.67 | |
| RPTHardware=NVIDIA A6000 GPU2026.05 | 45.1 | 51.18 | 133.44 | |
| TransUNet2024.05 | 53.4 | 93.4 | — | |
| C-GraphHardware=NVIDIA A6000 GPU2026.05 | 81.9 | 147.39 | 318.81 |