Visual analysis of deep learning semantic segmentation applied to petrographic thin sections

Abstract Object detection methods based on deep learning have significantly reduced time-consuming tasks. Semantic segmentation has shown remarkable progress in the study of rocks, especially when applied to petrographic thin sections. Despite the development of various models for specific applicati...

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Váldodahkkit:	Joaquin Morales, Camila Saldivia, Rodolfo Lobo, Max del Pino, Marcos Muñoz, Giorgio Caniggia, Joaquín Catalán, Rafael Hayde, Víctor Poblete
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	Nature Portfolio 2025-04-01
Ráidu:	Scientific Reports
Fáttát:	Petrographic thin sections YOLOv11 Layer activation Explainable object detection
Liŋkkat:	https://doi.org/10.1038/s41598-025-99767-2
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