This file is a running document of baselines and state-of-the-art models for the SKM-TEA v1 dataset.
Name | Input | Train Acc. | Description | Download |
---|---|---|---|---|
Unrolled E1 (6x) | E1 | 6x | 8 resblocks, 256 channels each |
🤗 | cfg | model |
Unrolled E2 (6x) | E2 | 6x | 8 resblocks, 256 channels each |
🤗 | cfg | model |
Unrolled E1+E2 (6x) | E1+E2 | 6x | 8 resblocks, 256 channels each |
🤗 | cfg | model |
Unrolled E1$\oplus$E2 (6x) | E1$\oplus$E2 | 6x | 8 resblocks, 256 channels each |
🤗 | cfg | model |
U-Net E1 (6x) | E1 | 6x | 4 pooling, 32^p, leaky-relu activation | 🤗 | cfg | model |
U-Net E2 (6x) | E2 | 6x | 4 pooling, 32^p, leaky-relu activation | 🤗 | cfg | model |
U-Net E1+E2 (6x) | E1+E2 | 6x | 4 pooling, 32^p, leaky-relu activation | 🤗 | cfg | model |
U-Net E1$\oplus$E2 (6x) | E1$\oplus$E2 | 6x | 4 pooling, 32^p, leaky-relu activation | 🤗 | cfg | model |
Unrolled E1 (8x) | E1 | 8x | 8 resblocks, 256 channels each |
🤗 | cfg | model |
Unrolled E2 (8x) | E2 | 8x | 8 resblocks, 256 channels each |
🤗 | cfg | model |
Unrolled E1+E2 (8x) | E1+E2 | 8x | 8 resblocks, 256 channels each |
🤗 | cfg | model |
Unrolled E1$\oplus$E2 (8x) | E1$\oplus$E2 | 8x | 8 resblocks, 256 channels each |
🤗 | cfg | model |
U-Net E1 (8x) | E1 | 8x | 4 pooling, 32^p, leaky-relu activation | 🤗 | cfg | model |
U-Net E2 (8x) | E2 | 8x | 4 pooling, 32^p, leaky-relu activation | 🤗 | cfg | model |
U-Net E1+E2 (8x) | E1+E2 | 8x | 4 pooling, 32^p, leaky-relu activation | 🤗 | cfg | model |
U-Net E1$\oplus$E2 (8x) | E1$\oplus$E2 | 8x | 4 pooling, 32^p, leaky-relu activation | 🤗 | cfg | model |
Name | Input | Description | Download |
---|---|---|---|
V-Net E1 | E1 | Monai v0.5.3 | 🤗 | cfg | model |
V-Net E2 | E2 | Monai v0.5.3 | 🤗 | cfg | model |
V-Net E1$\oplus$E2 | E1$\oplus$E2 | Monai v0.5.3 | 🤗 | cfg | model |
V-Net RSS | RSS | Monai v0.5.3 | 🤗 | cfg | model |
U-Net E1 | E1 | 5 pooling layers, 32^p channels | 🤗 | cfg | model |
U-Net E2 | E2 | 5 pooling layers, 32^p channels | 🤗 | cfg | model |
U-Net E1$\oplus$E2 | E1$\oplus$E2 | 5 pooling layers, 32^p channels | 🤗 | cfg | model |
U-Net RSS | RSS | 5 pooling layers, 32^p channels | 🤗 | cfg | model |