Peer-reviewedCC BYDiagnostics (Basel, Switzerland)
Advancing Lumbar Disc Herniation Classification from MRI Using an Efficient and Reproducible Classical Machine Learning Framework
- 1College of Computer Science and Engineering, , Ha’il 81411, Saudi Arabia; (A.A.);
- 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 -