Advancing paleontology: a survey on deep learning methodologies in fossil image analysis

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Библиографические подробности
Опубликовано в::	The Artificial Intelligence Review vol. 58, no. 3 (Mar 2025), p. 83
Опубликовано:	Springer Nature B.V.
Предметы:	Human bias Digital imaging Datasets Data augmentation Image analysis Microorganisms Fossils Deep learning Historical structures Image segmentation Interrogation Graph neural networks Paleontology Neural networks Task complexity State-of-the-art reviews Image quality Machine learning Image processing Image processing systems Analysis Diffusion models Classification Information dissemination Morphology Learning Bias Fossilization Documentation Novels Segmentation Scarcity Networks Morphological complexity Intensive treatment
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