A recent study published in the journal Artificial Intelligence in Geosciences introduced an advanced method for automatic microfossil detection and analysis. The research team consisted of members from the machine learning group at the University of Tromso (UiT) The Arctic University of Norway.
They have developed a pipeline for extracting fossil information from microscope slide images. They found that deep learning techniques outperform traditional image processing methods and that self-supervision can be effectively used for feature extraction.
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