A multi-attention mechanism-improved ResNet18 approach for lithology identification and classification.

Zhang Y, Zhang F, Li J, Huang L, Li R

DOI: 10.1371/journal.pone.0361625
Published: 2026
Container: PloS one
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0361625,
  title = {A multi-attention mechanism-improved ResNet18 approach for lithology identification and classification.},
  author = {Zhang Y and Zhang F and Li J and Huang L and Li R},
  year = {2026},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0361625},
  url = {https://doi.org/10.1371/journal.pone.0361625}
}

RIS

TY  - JOUR
TI  - A multi-attention mechanism-improved ResNet18 approach for lithology identification and classification.
AU  - Zhang Y
AU  - Zhang F
AU  - Li J
AU  - Huang L
AU  - Li R
PY  - 2026
JO  - PloS one
DO  - 10.1371/journal.pone.0361625
UR  - https://doi.org/10.1371/journal.pone.0361625
ER  -

APA

Y, Z., F, Z., J, L., L, H., & R, L. (2026). A multi-attention mechanism-improved ResNet18 approach for lithology identification and classification.. PloS one. https://doi.org/10.1371/journal.pone.0361625

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pubmed · retrieved 2026-11-10T11:06:59.308Z