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  • Presentation | V41B: Multidisciplinary Perspectives on Ocean Island and Seamount Processes from Above the Top to Below the Bottom II Poster
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  • V41B-0060: Deep learning assisted identification of crystal and vesicle populations in SEM imagery of submarine volcanic rocks.
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  • Board 0060‚ Hall EFG (Poster Hall)
    NOLA CC
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Author(s):
Madison Shaw, Worcester Polytechnic Institute (First Author, Presenting Author)
Jacob Tomer, University of Rhode Island
Jordan Pierce, University of California San Diego
Adam Soule, University of Rhode Island - Graduate School of Oceanography


Crystal and bubbles trapped in quenched lava help reveal hidden details of the magmas chemical and physical history. We have applied machine learning models in order to significantly speed up the process of collecting this data, enabling more rapid and better analysis of these features of volcanic rocks.



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