Advancing Lumbar Disc Herniation Classification from MRI Using an Efficient and Reproducible Classical Machine Learning Framework.
- DOI
- 10.3390/diagnostics16203288
- Published
- 2026 Oct 10
- Container
- Diagnostics (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/diagnostics16203288,
title = {Advancing Lumbar Disc Herniation Classification from MRI Using an Efficient and Reproducible Classical Machine Learning Framework.},
author = {Alanazi A and Alazmi M and Alshammari A and Alshammeri AF},
year = {2026},
journal = {Diagnostics (Basel, Switzerland)},
doi = {10.3390/diagnostics16203288},
url = {https://doi.org/10.3390/diagnostics16203288}
}RIS
TY - JOUR TI - Advancing Lumbar Disc Herniation Classification from MRI Using an Efficient and Reproducible Classical Machine Learning Framework. AU - Alanazi A AU - Alazmi M AU - Alshammari A AU - Alshammeri AF PY - 2026 JO - Diagnostics (Basel, Switzerland) DO - 10.3390/diagnostics16203288 UR - https://doi.org/10.3390/diagnostics16203288 ER -
APA
A, A., M, A., A, A., & AF, A. (2026). Advancing Lumbar Disc Herniation Classification from MRI Using an Efficient and Reproducible Classical Machine Learning Framework.. Diagnostics (Basel, Switzerland). https://doi.org/10.3390/diagnostics16203288
Source records
- pubmed · retrieved 2026-11-10T07:36:36.375Z