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Peer-reviewedCC BYMicroorganisms

Bayesian-Optimized Deep Learning for Helicobacter pylori Detection in Egyptian Gastric Histopathology: A Multi-Architecture Study

  • Reham Faeq Hasona1
  • Mahmoud M. Saafan1
  • Eman M. El-Gendy1
  • Walaa Ghanam2
  • Wafaa Farouk Mohamed3
  1. 1Computers and Control Systems Engineering Department, Faculty of Engineering, , Mansoura 35516, Egypt; (M.M.S.); (E.M.E.-G.)
  2. 2Pathology Department, Faculty of Medicine, , Suez 43533, Egypt;
  3. 3Ain-Shams University Specialized Hospital, Ain-Shams University, Cairo 11588, Egypt
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Cite

BibTeXRIS
BibTeX
@article{hasona2026bayesianoptimized,
  title = {{Bayesian-Optimized Deep Learning for Helicobacter pylori Detection in Egyptian Gastric Histopathology: A Multi-Architecture Study}},
  author = {Reham Faeq Hasona and Mahmoud M. Saafan and Eman M. El-Gendy and Walaa Ghanam and Wafaa Farouk Mohamed},
  journal = {Microorganisms},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13707646},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Bayesian-Optimized Deep Learning for Helicobacter pylori Detection in Egyptian Gastric Histopathology: A Multi-Architecture Study
AU  - Reham Faeq Hasona
AU  - Mahmoud M. Saafan
AU  - Eman M. El-Gendy
AU  - Walaa Ghanam
AU  - Wafaa Farouk Mohamed
PY  - 2026
DA  - 2026/10/01
JO  - Microorganisms
UR  - https://europepmc.org/article/PMC/PMC13707646
SN  - 2076-2607
ER  -