DOE OSTI · code-147813
pnnl/SAMIAm
Abstract
We apply semantic boosting to the Segment Anything Model (SAM) to obtain microstructure segmentation for transmission electron microscopy. Our booster, SAM-I-Am, extracts geometric and textural features of various intermediate masks to perform mask removal and mask merging operations
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Mesfin, Waqwoya, Tallent, Nathan, Strube, Jan, Guo, Luanzheng, Bel, Oceane. 2024-11-20. pnnl/SAMIAm. https://doi.org/10.11578/dc.20241120.3
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