Automatic detection and quantification of antimicrobial inhibition zones using YOLO11n with post-hoc interpretability validation

Fatih Ciftci, Azime Erarslan, Javad Rahebi

Open source

DOI
10.3389/fmicb.2026.1810754
Published
2026-04-28
Container
Frontiers in Microbiology
Publisher
Frontiers Media SA
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3389/fmicb.2026.1810754,
  title = {Automatic detection and quantification of antimicrobial inhibition zones using YOLO11n with post-hoc interpretability validation},
  author = {Fatih Ciftci and Azime Erarslan and Javad Rahebi},
  year = {2026},
  journal = {Frontiers in Microbiology},
  doi = {10.3389/fmicb.2026.1810754},
  url = {https://doi.org/10.3389/fmicb.2026.1810754}
}

RIS

TY  - JOUR
TI  - Automatic detection and quantification of antimicrobial inhibition zones using YOLO11n with post-hoc interpretability validation
AU  - Fatih Ciftci
AU  - Azime Erarslan
AU  - Javad Rahebi
PY  - 2026
JO  - Frontiers in Microbiology
DO  - 10.3389/fmicb.2026.1810754
UR  - https://doi.org/10.3389/fmicb.2026.1810754
ER  - 

APA

Ciftci, F., Erarslan, A., & Rahebi, J. (2026). Automatic detection and quantification of antimicrobial inhibition zones using YOLO11n with post-hoc interpretability validation. Frontiers in Microbiology. https://doi.org/10.3389/fmicb.2026.1810754

Source records