Comparison of different deep learning architectures for synthetic CT generation from MR images
A Bahrami, A Karimian, H Arabi - Physica Medica, 2021 - Elsevier
Purpose Among the different available methods for synthetic CT generation from MR images
for the task of MR-guided radiation planning, the deep learning algorithms have and do
outperform their conventional counterparts. In this study, we investigated the performance of
some most popular deep learning architectures including eCNN, U-Net, GAN, V-Net, and
Res-Net for the task of sCT generation. As a baseline, an atlas-based method is
implemented to which the results of the deep learning-based model are compared. Methods …
for the task of MR-guided radiation planning, the deep learning algorithms have and do
outperform their conventional counterparts. In this study, we investigated the performance of
some most popular deep learning architectures including eCNN, U-Net, GAN, V-Net, and
Res-Net for the task of sCT generation. As a baseline, an atlas-based method is
implemented to which the results of the deep learning-based model are compared. Methods …
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