Skip to main content

Table 2 Comparison of SSIM, PSNR and RMSE in the synthesized sinograms using dataset in Group 2

From: Artifact suppression for breast specimen imaging in micro CBCT using deep learning

 

SSIM

RMSE

PSNR

Case 1

   

Interpolation

0.9878

0.0055

45.2660

Modified U-Net model

0.9952

0.0030

50.3672

Case 2

   

Interpolation

0.9762

0.0063

43.9628

Modified U-Net model

0.9863

0.0046

46.7212

Back to article page

BMC Medical Imaging

ISSN: 1471-2342

Contact us