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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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Príomhchruthaitheoirí: Joaquin Morales, Camila Saldivia, Rodolfo Lobo, Max del Pino, Marcos Muñoz, Giorgio Caniggia, Joaquín Catalán, Rafael Hayde, Víctor Poblete
Formáid: Artigo
Teanga:Inglês
Foilsithe / Cruthaithe: Nature Portfolio 2025-04-01
Sraith:Scientific Reports
Ábhair:
Rochtain ar líne:https://doi.org/10.1038/s41598-025-99767-2
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