Automated detection of Eimeria tenella from hematoxylin and eosin-stained chicken cecal tissues using YOLOv4-based deep learning: A proof-of-concept study.
- DOI
- 10.1016/j.parint.2026.103353
- Published
- 2027 Feb
- Container
- Parasitology international
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.parint.2026.103353,
title = {Automated detection of Eimeria tenella from hematoxylin and eosin-stained chicken cecal tissues using YOLOv4-based deep learning: A proof-of-concept study.},
author = {Iwaide S and Kimura K and Matsubayashi M and Murakami T and Shibahara T},
year = {2027},
journal = {Parasitology international},
doi = {10.1016/j.parint.2026.103353},
url = {https://doi.org/10.1016/j.parint.2026.103353}
}RIS
TY - JOUR TI - Automated detection of Eimeria tenella from hematoxylin and eosin-stained chicken cecal tissues using YOLOv4-based deep learning: A proof-of-concept study. AU - Iwaide S AU - Kimura K AU - Matsubayashi M AU - Murakami T AU - Shibahara T PY - 2027 JO - Parasitology international DO - 10.1016/j.parint.2026.103353 UR - https://doi.org/10.1016/j.parint.2026.103353 ER -
APA
S, I., K, K., M, M., T, M., & T, S. (2027). Automated detection of Eimeria tenella from hematoxylin and eosin-stained chicken cecal tissues using YOLOv4-based deep learning: A proof-of-concept study.. Parasitology international. https://doi.org/10.1016/j.parint.2026.103353
Source records
- pubmed · retrieved 2026-09-26T09:00:44.421Z