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Peer-reviewedCC BYPharmaceutics

Artificial Intelligence-Based Quality Control of Pharmaceutical Tablets: A Visual Dataset and Benchmark for Automated Defect Detection

  1. 1Division of Electronics and Electrical Engineering, , 30 Pildong-ro 1-gil, Jung-gu, Seoul 04620, Republic of Korea; (T.M.); (S.J.L.)
  2. 2Department of Pharmacy, Faculty of Natural Sciences, (A Chartered University), Lahore 54600, Pakistan; (S.U.R.); (A.N.)

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BibTeX
@article{mahmood2026artificial,
  title = {{Artificial Intelligence-Based Quality Control of Pharmaceutical Tablets: A Visual Dataset and Benchmark for Automated Defect Detection}},
  author = {Tahir Mahmood and Sabi Ur Rehman and Arslan Niamat and Sung Jae Lee and Kang Ryoung Park},
  journal = {Pharmaceutics},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13708589},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Artificial Intelligence-Based Quality Control of Pharmaceutical Tablets: A Visual Dataset and Benchmark for Automated Defect Detection
AU  - Tahir Mahmood
AU  - Sabi Ur Rehman
AU  - Arslan Niamat
AU  - Sung Jae Lee
AU  - Kang Ryoung Park
PY  - 2026
DA  - 2026/10/01
JO  - Pharmaceutics
UR  - https://europepmc.org/article/PMC/PMC13708589
SN  - 1999-4923
ER  -