Precise detection of Eimeria oocysts in sheep: a deep learning model based on microscopic images
YOLO-GA offers a high-accuracy solution with balanced computational efficiency for automated detection of Eimeria oocysts under complex microscopy conditions. This work lays a foundation for intelligent diagnostics of ovine Eimeria coccidiosis and provides a reference for scalable health monitoring of sheep flocks, with potential extension to other small ruminant coccidiosis (e.g. goat Eimeria) pending further validation.
Authors
- Longxian Zhang (ORCID: https://orcid.org/0000-0002-5706-131X)
- Huikai Qin
- Liangliang Liu (ORCID: https://orcid.org/0000-0002-6863-9869)
- Xiaofeng Sui
- Jinpu Xie (ORCID: https://orcid.org/0009-0002-7641-5344)
Institutions
- Henan Provincial People's Hospital (CN)
- Ministry of Agriculture and Rural Affairs (CN)
- Henan Agricultural University (CN)
Publication Details
- Journal
- Parasites & Vectors
- Published
- 2025-11-12
- DOI
- https://doi.org/10.1186/s13071-025-07092-4
- Primary Topic
- Coccidia and coccidiosis research
- Type
- article
- Field-Weighted Citation Impact
- 0.00