Artificial Intelligence Based Antibiotic Zone Measurement For Disk Diffusion Test

DOI:10.4121/6836caa1-2c19-4e62-b30a-0c15488dd33a.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/6836caa1-2c19-4e62-b30a-0c15488dd33a

Datacite citation style

Karayiğit, Musa; Erdem, Oğuzhan; Güdücüoğlu, Hüseyin (2025): Artificial Intelligence Based Antibiotic Zone Measurement For Disk Diffusion Test. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/6836caa1-2c19-4e62-b30a-0c15488dd33a.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This dataset contains photographic images of disk diffusion tests commonly used in antibiotic susceptibility testing. The purpose of the research is to support the development of automated antibiotic resistance analysis using artificial intelligence and image processing techniques. The study is observational in nature, and data were collected by photographing petri dishes in laboratory conditions, where various bacterial strains were exposed to specific antibiotic disks. The dataset consists of high-resolution image files, each annotated with relevant information about the antibiotic and bacterial strain involved.

History

  • 2025-05-23 first online, published, posted

Publisher

4TU.ResearchData

Format

image/jpg

Organizations

Trakya University, Faculty of Engineering, Department of Electrical and Electronics Engineering
Trakya University, Faculty of Medicine, Department of Medical Microbiology

DATA

Files (960)