Automated fish disease diagnosis in aquaculture using convolutional neural networks: a narrative review of methods, applications, and challenges
- DOI
- 10.1007/s11259-026-11350-w
- Published
- 2026-07-08
- Container
- Veterinary Research Communications
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s11259-026-11350-w,
title = {Automated fish disease diagnosis in aquaculture using convolutional neural networks: a narrative review of methods, applications, and challenges},
author = {Humza Shaikh and Al-Zahraa Mamdouh and Fatma Ahmed and Eman Zahran and Ahmed Mustafa},
year = {2026},
journal = {Veterinary Research Communications},
doi = {10.1007/s11259-026-11350-w},
url = {https://doi.org/10.1007/s11259-026-11350-w}
}RIS
TY - JOUR TI - Automated fish disease diagnosis in aquaculture using convolutional neural networks: a narrative review of methods, applications, and challenges AU - Humza Shaikh AU - Al-Zahraa Mamdouh AU - Fatma Ahmed AU - Eman Zahran AU - Ahmed Mustafa PY - 2026 JO - Veterinary Research Communications DO - 10.1007/s11259-026-11350-w UR - https://doi.org/10.1007/s11259-026-11350-w ER -
APA
Shaikh, H., Mamdouh, A., Ahmed, F., Zahran, E., & Mustafa, A. (2026). Automated fish disease diagnosis in aquaculture using convolutional neural networks: a narrative review of methods, applications, and challenges. Veterinary Research Communications. https://doi.org/10.1007/s11259-026-11350-w
Source records
- crossref · retrieved 2026-11-11T00:09:51.487Z