19 October 2025 : Laboratory Research
Automated Multimodal Image Registration for Prostate Cancer Using Squeeze-and-Excitation ResNet with Thin Plate Spline Transformation: A Deep Learning Approach
Hua Cai ABCDEFG 1, Yongxin Li C 2, Qiang Zhao F 3*, Yun Lu A 1,4DOI: 10.12659/MSM.949996
Med Sci Monit 2025; 31:e949996
Table 3 Comparison results of ablation experiments.
| Methods | DSC | HD (mm) | Time (s) |
|---|---|---|---|
| Baseline+Affine | 0.902 (±0.021) | 4.57 (±0.4) | 5 (±2) |
| Baseline+TPS | 0.941 (±0.006) | 3.74 (±0.3) | 5 (±2) |
| Baseline+SE module+TPS | 0.950 (±0.012) | 3.29 (±0.05 | 5 (±2) |
| Baseline+TPS+Multi-scale input module | 0.957 (±0.004) | 3.17 (±0.4) | 6 (±2) |
| SE-ResNet-TPS | 0.964 (±0.008) | 2.91 (±0.5) | 6 (±3) |