Classification of occlusal caries severity using spectrophotometric CIELAB measurements and machine learning algorithms.

Rashid F, Dudley J

DOI: 10.1007/s00784-026-06911-x
Published: 2026 May 14
Container: Clinical oral investigations
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1007/s00784-026-06911-x,
  title = {Classification of occlusal caries severity using spectrophotometric CIELAB measurements and machine learning algorithms.},
  author = {Rashid F and Dudley J},
  year = {2026},
  journal = {Clinical oral investigations},
  doi = {10.1007/s00784-026-06911-x},
  url = {https://doi.org/10.1007/s00784-026-06911-x}
}

RIS

TY  - JOUR
TI  - Classification of occlusal caries severity using spectrophotometric CIELAB measurements and machine learning algorithms.
AU  - Rashid F
AU  - Dudley J
PY  - 2026
JO  - Clinical oral investigations
DO  - 10.1007/s00784-026-06911-x
UR  - https://doi.org/10.1007/s00784-026-06911-x
ER  -

APA

F, R., & J, D. (2026). Classification of occlusal caries severity using spectrophotometric CIELAB measurements and machine learning algorithms.. Clinical oral investigations. https://doi.org/10.1007/s00784-026-06911-x

Source records

pubmed · retrieved 2026-09-27T06:59:37.115Z