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Box plots of Dice scores from vessel segmentation (A), centerline prediction (B), and bifurcation detection (C) tasks over our test set in the clinical MRA dataset across the deep learning architectures. It is evident that DeepVesselNet-VNet and DeepVesselNet-UNet obtain comparable results as VNet and UNet, respectively. However, DeepVesselNet-FCN achieves a significantly higher results in all three tasks as confirmed by a p < 0.001.
