Segmentation of carotid arterial walls using neural networks

Figure 1 Representative axial T2-weighted magnetic resonance image of bilateral carotid arteries with cropped vessel area highlighted (A). Carotid vessel wall segmentations using convolutional neural networks (B) and expert reader (C). DICE = 0.91.

Figure 2 Comparison of measurements between convolutional neural network and an expert reader for lumen area (A), wall area (B), and total vessel area (C). CNN: Convolutional neural network.

Figure 3 Bland-Altman plots demonstrating agreement of convolutional neural networks and expert reader in assessing lumen area (A), wall area (B), and total vessel area (C). CNN: Convolutional neural network.