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Peer-reviewedCC BYDiagnostics (Basel, Switzerland)

Advancing Lumbar Disc Herniation Classification from MRI Using an Efficient and Reproducible Classical Machine Learning Framework

  1. 1College of Computer Science and Engineering, , Ha’il 81411, Saudi Arabia; (A.A.);
  2. 2Diagnostic Radiology Department, College of Medicine, , Ha’il 81422, Saudi Arabia

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BibTeX
@article{alanazi2026advancing,
  title = {{Advancing Lumbar Disc Herniation Classification from MRI Using an Efficient and Reproducible Classical Machine Learning Framework}},
  author = {Abdullah Alanazi and Meshari Alazmi and Abdullah Alshammari and Amirah F. Alshammeri},
  journal = {Diagnostics (Basel, Switzerland)},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13703152},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Advancing Lumbar Disc Herniation Classification from MRI Using an Efficient and Reproducible Classical Machine Learning Framework
AU  - Abdullah Alanazi
AU  - Meshari Alazmi
AU  - Abdullah Alshammari
AU  - Amirah F. Alshammeri
PY  - 2026
DA  - 2026/10/01
JO  - Diagnostics (Basel, Switzerland)
UR  - https://europepmc.org/article/PMC/PMC13703152
SN  - 2075-4418
ER  -