Fig 1.
Architecture of the fully connected CNN with a 3 layer “U-Net” architecture.
Fig 2.
Learning curves with DSC over epochs (upper panel) and loss over epochs (lower panel).
Fig 3.
Segmentation examples with for each example: Original resized slices 18F-FET (top), original mask (middle up), predicted mask + threshold (middle down) and difference between the predicted and original mask (bottom, with false negative in red and false positive in blue).
Table 1.
Confusion matrix at the voxel level in the validation set of 11 patients.