fig13

Deep learning for enhanced porosity detection in AZ91 magnesium alloys using windowed perception and aggregated sensing

Figure 13. Segmentation results with different module integrations into the TransUNet network structure. Images (A) to (D) display the results when the WS module is added to TransUNet. Images (E) to (H) show the outcomes with the ASL module integrated into TransUNet. Finally, images (I) to (L) present the results when both the WS and ASL modules are combined in TransUNet. WS: Window-shaped; ASL: aggregated sensing layer.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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