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Figure 4
Demonstration of SMAXI's interactive segmentation module applied across diverse imaging modalities and geometric complexities. (a) Segmentation of the keyhole in the image of an L-PBF process, utilizing an exclusion mask (red) to eliminate the out-of-interest zone above the substrate surface. (b) Segmentation of the tool pin in the image of a friction stir welding process (Agiwal & Pfefferkorn, 2025View full citation). (c) Extraction of two parallel features from the reconstructed nano-CT image of an integrated circuit (Nikitin et al., 2025View full citation). (d) Segmentation of a biological cell (Chu et al., 2008View full citation) in reconstructed CT data, demonstrating the model's capability to autonomously capture highly irregular and complex morphological boundaries without manual pixel tracing.

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