Medical Image Segmentation on COVID-19 lung CT D9 (test)
90.3DSCHyPCA-Net-EMCAD
Evaluation results
| Method | Links | ||
|---|---|---|---|
| HyPCA-Net-EMCADnumber of parameters (M)=18.6, GFLOPS=7.65, decoder=EMCAD2026.02 | 90.3 | 82.5 | |
| HyPCA-Net-Segnumber of parameters (M)=21.7, GFLOPS=8.04, decoder=SegNet2026.02 | 88.2 | 80.9 | |
| EMCADnumber of parameters (M)=26.8, GFLOPS=5.62026.02 | 85.8 | 78.6 | |
| DRIFA-Netnumber of parameters (M)=67.3, GFLOPS=19.92026.02 | 84.4 | 77.1 | |
| PVT-CASCADEnumber of parameters (M)=34.1, GFLOPS=7.62026.02 | 84.1 | 77.3 | |
| MADGNetnumber of parameters (M)=31, GFLOPS=14.22026.02 | 83.9 | 76.9 | |
| MTTU-Netnumber of parameters (M)=71.6, GFLOPS=20.92026.02 | 82.2 | 75.7 | |
| PolypPVTnumber of parameters (M)=25.1, GFLOPS=5.32026.02 | 81.7 | 74.4 | |
| UNetnumber of parameters (M)=34.5, GFLOPS=65.52026.02 | 47.7 | 38.6 |