Multi-Label Benthic Foraminifera Identification With Convolutional Neural Networks

Fossil studies are crucial for understanding species evolution and uncovering the dynamic structure of the Earth. However, the examination and interpretation of fossil specimens is inherently complex and time-consuming, particularly when dealing with thin sections where microfossils and non-fossil s...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Kubra Yayan, Cem Baglum, Ugur Yayan
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Geology benthic foraminifera multilabel classification deep learning convolutional neural networks
Online Access:	https://ieeexplore.ieee.org/document/10810429/