Advancing the automated foraminifera fossil identification through scanning electron microscopy image classification: A convolutional neural network approach
D G Harbowo,
T Muliawati
Abstract:Handling more than thousand fossil foraminifera data is very challenging, especially for old-way identification. Determining morpho-taxonomy by conventional microscopic observation is very time-consuming and can lead to innacuracy identification. We are certain that the process could be advanced through big data analysis using a machine learning approach. Foraminifera fossils have already become a common standard for biostratigraphic proxies and paleoenvironmental interpretation. Therefore, the objective of th… Show more
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