Quantifying uncertainty in foraminifera classification: How deep learning methods compare to human experts

Foraminifera are shell-bearing microorganisms that are commonly found in marine deposits on the seabed. They are important indicators in many analyses, are used in climate change research, monitoring marine environments, evolutionary studies, and are also frequently used in the oil and gas industry....

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Bibliographic Details

Published in:	Artificial Intelligence in Geosciences
Main Authors:	Iver Martinsen, Steffen Aagaard Sørensen, Samuel Ortega, Fred Godtliebsen, Miguel Tejedor, Eirik Myrvoll-Nilsen
Format:	Article
Language:	English
Published:	KeAi Communications Co. Ltd. 2025-12-01
Subjects:	Foraminifera Uncertainty Deep learning Microfossils
Online Access:	http://www.sciencedirect.com/science/article/pii/S2666544125000413