Skip to main content
. Author manuscript; available in PMC: 2023 Apr 1.
Published in final edited form as: IEEE Trans Med Imaging. 2022 Apr 1;41(4):915–924. doi: 10.1109/TMI.2021.3128641

TABLE III.

AVERAGE ℓ1 LOSS AND TESTING ACCURACY FOR DEEP LEARNING NETWORKS

Network ℓ1 Loss Test Accuracy
Stacked Autoencoder 0.067±0.007 0.8422±0.0217
FUS-net (MS-SSIM; 32–256) 0.021±0.002 0.9102±0.0124
FUS-net (SSIM; 32–256) 0.031±0.004 0.9261±0.0093
FUS-net (SSIM; 32–512) 0.027±0.007 0.9983±0.0003