Figure 5.

Qualitative comparison with other models

Segmentation results of four CTA cases, (A), (B), (C), and (D), randomly selected from the internal test set. There are three perspectives (axial, sagittal, and coronal) for each 3D CTA case for better visualization. The CTA images are shown using 11-layer MIP (maximum intensity projection). The window width and window level of the CTA images are 600 and 200 Hounsfield Units. Because of the global positioning network, our GLIA-Net has much fewer false-positive predictions at low-risk regions where other methods often generate positive, including in-head (e.g., sagittal in [A] and axial in [B]) and out-of-head (e.g., coronal in [B] and sagittal in [C]) regions. Besides, the segmentation results of our model are also closer to the annotation compared with other models (e.g., local images in [C] and [D]). Better viewed in a high-resolution image.