Automated identification of sedimentary structures in core images using object detection algorithms

Manual interpretation of sedimentary structures in core-based analyses is critical for understanding subsurface geology but remains time-intensive, expert-dependent, and susceptible to bias. This study investigates the use of convolutional neural networks (CNNs) to automate structure identification...

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Bibliographic Details
Published in:PloS one Vol. 20; no. 7; p. e0327738
Main Authors: Abdlmutalib, Ammar J., Ayranci, Korhan, Waheed, Umair Bin, Alhajri, Hamad D., MacEachern, James A., Al-Khabbaz, Mohammed N.
Format: Journal Article
Language:English
Published: United States Public Library of Science 18.07.2025
Public Library of Science (PLoS)
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ISSN:1932-6203, 1932-6203
Online Access:Get full text
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