SynSection: Sedimentology-driven data generation for deep learning applications in carbonates petrography

The analysis of carbonate rocks through petrographic methods has long posed significant challenges in geological sciences, particularly regarding the systematic description and quantification of thin sections. Recent developments in artificial intelligence have suggested promising avenues for automa...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Marine and petroleum geology Jg. 182; S. 107490
Hauptverfasser:	Ransinangue, Axel, Labourdette, Richard, Houzay, Erwann, Guillon, Sebastien, Bourillot, Raphael, Dujoncquoy, Emmanuel, Chehata, Nesrine
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.12.2025
Schlagworte:	Carbonates Deep learning Image classification Image segmentation Petrography Synthetic data Deep learning Image segmentation Petrography Carbonates Synthetic data Image classification
ISSN:	0264-8172
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!