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. Author manuscript; available in PMC: 2025 Apr 1.
Published in final edited form as: Med Phys. 2023 Nov 27;51(4):2538–2548. doi: 10.1002/mp.16847

Table 2.

Quantitative analysis of sCTs from MC-IDDPM vs. MC-GAN, MC-CGAN, 2D-IDDPM, 3D-DDIM, and 3D-DDPM using the institutional prostate dataset. The table highlights the best-performing network(s), indicated in bold, and the second-best network(s), underlined, based on the mean evaluation results. P-values are shown below each competing method.

MAE (HU) PSNR (dB) SSIM NCC
MC-IDDPM 55.124±9.414 28.708±2.112 0.878±0.040 0.940±0.039
p-value N/A N/A N/A N/A

MC-GAN 80.366±28.880 24.712±2.970 0.800±0.050 0.846±0.068
p-value <0.010 <0.010 <0.010 <0.010

MC-CGAN 68.278±19.948 26.023±2.781 0.852±0.043 0.884±0.061
p-value <0.010 <0.010 0.024 <0.010

2D-IDDPM 64.197±10.183 27.786±2.069 0.863±0.038 0.930±0.040
p-value <0.010 0.070 0.108 0.182

3D-DDIM 64.426±9.869 28.124±1.953 0.861±0.040 0.932±0.046
p-value <0.010 0.176 0.093 0.381

3D-DDPM 73.696±16.794 26.754±2.047 0.839±0.031 0.912±0.051
p-value <0.010 <0.010 <0.010 0.020