The model was based on a connected residual deconvolution network (CResDevNet) and compared with UNet as a baseline.  Using the 60 patient treatment plans in the testing dataset, 79% and 73% of the DVIs predicted using the CResDevNet and UNet models, respectively, were within 5% of the clinical values.  The median value of the DVIs' mean absolute errors was 3.2 ± 2.5% and 3.7 ± 2.9% for the CResDevNet and UNet models, respectively.  The average dice similarity coefficient for all OARs was 0.965 using the CResDevNet model and 0.958 using the UNet model.


 The prediction accuracy of the CResDevNet model was evaluated using a planning database of nasopharyngeal cancer cases and shown to be more accurate than the UNet model. 
CResDevNet
The model was based on a connected residual deconvolution network (CResDevNet) and compared with UNet as a baseline.  Using the 60 patient treatment plans in the testing dataset, 79% and 73% of the DVIs predicted using the CResDevNet and UNet models, respectively, were within 5% of the clinical values.  The median value of the DVIs' mean absolute errors was 3.2 ± 2.5% and 3.7 ± 2.9% for the CResDevNet and UNet models, respectively.  The average dice similarity coefficient for all OARs was 0.965 using the CResDevNet model and 0.958 using the UNet model.


 The prediction accuracy of the CResDevNet model was evaluated using a planning database of nasopharyngeal cancer cases and shown to be more accurate than the UNet model. 
UNet
The average dice similarity coefficient for all OARs was 0.965 using the CResDevNet model and 0.958 using the UNet model.


 The prediction accuracy of the CResDevNet model was evaluated using a planning database of nasopharyngeal cancer cases and shown to be more accurate than the UNet model. 
the CResDevNet model
The average dice similarity coefficient for all OARs was 0.965 using the CResDevNet model and 0.958 using the UNet model.


 The prediction accuracy of the CResDevNet model was evaluated using a planning database of nasopharyngeal cancer cases and shown to be more accurate than the UNet model. 
the UNet model