Deep Learning, Artificial Intelligence, Medical Imaging, Image Segmentation, Transformers.
in (d). Model5: replaces the bottom block in Model2 with the block in (c). The results demonstrate how different global aggregation blocks in non-local U-Nets improve the performance. Left: Different overlapping step sizes during inference. Middle: Different overlapping step sizes during inference.