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

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Detalles Bibliográficos
Publicado en:	The Artificial Intelligence Review vol. 58, no. 3 (Mar 2025), p. 83
Publicado:	Springer Nature B.V.
Materias:	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
Acceso en línea:	Citation/Abstract Full Text - PDF
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