TABLE V.
Impact of using segmentation probability maps for adversarial training on segmentation accuracy.
| T1wFS MR Parotid (N = 77) | T1w SPIR MR Abdomen (N = 10) | |||||||
|---|---|---|---|---|---|---|---|---|
| Parotid right | Parotid left | Avg. | Liver | Spleen | Kidney left | Kidney right | Avg. | |
| i. Multi-channel segmentation prob | 0.74±0.07 | 0.73±0.06 | 0.74 | 0.89±0.02 | 0.84±0.05 | 0.79±0.12 | 0.80±0.07 | 0.83 |
| ii. Aggregated segmentation prob | 0.75±0.05 | 0.75±0.06 | 0.75 | 0.89±0.03 | 0.83±0.09 | 0.80±0.11 | 0.81±0.09 | 0.83 |
| iii. Multi-channel segmentation prob + Image | 0.78±0.05 | 0.77±0.05 | 0.78 | 0.90±0.03 | 0.85±0.05 | 0.80±0.10 | 0.82±0.07 | 0.84 |
| iv. SOI-specific segmentation prob + Image | 0.79±0.03 | 0.78±0.04 | 0.79 | 0.91±0.02 | 0.85±0.08 | 0.81±0.10 | 0.82±0.07 | 0.85 |
| v. Aggregated segmentation prob + Image | 0.82±0.03 | 0.81±0.05 | 0.82 | 0.92±0.02 | 0.87±0.03 | 0.83±0.10 | 0.84±0.06 | 0.87 |