Identification of quartz cement in sandstone through deep learning segmentation of electron microscopy images-Reference-Cited by-同舟云学术

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Identification of quartz cement in sandstone through deep learning segmentation of electron microscopy images

Published:2024-02 Issue: Volume:233 Page:212529
ISSN:2949-8910
Container-title:Geoenergy Science and Engineering
language:en
Short-container-title:Geoenergy Science and Engineering

Author:

Carbonari R.^ORCID,Emmanuel S.^ORCID,Day-Stirrat R.J.^ORCID

Publisher

Elsevier BV

Reference51 articles.

1. Digital rock physics benchmarks—Part I: imaging and segmentation;Andrä;Comput. Geosci.,2013

2. Deep learning–driven permeability estimation from 2D images;Araya-Polo;Comput. Geosci.,2020

3. Semi-automatic segmentation of petrographic thin section images using a “seeded-region growing algorithm” with an application to characterize wheathered subarkose sandstone;Asmussen;Comput. Geosci.,2015

4. Influencing factors on petrography interpretations in provenance research—a case-study review;Augustsson;Geosciences,2021

5. Deep convolutions for in-depth automated rock typing;Baraboshkin;Comput. Geosci.,2020

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