Image processing-based automatic tooth segmentation and age estimation in sheep using deep learning
The proposed framework offers a robust, automated, and scalable solution for sheep age estimation. By eliminating manual assessment, the system contributes to precision livestock farming and supports informed decision-making in agricultural practice. The integration of deep learning, automatic segmentation, and a user-friendly interface highlights its potential for broader adoption in real-world field applications.
Authors
- Ali Yıldız (ORCID: https://orcid.org/0000-0003-0293-9989)
- Pınar Cihan
- Abdulsamet Baysan
Institutions
- Tekirdağ Namık Kemal University (TR)
Publication Details
- Journal
- Annals of Anatomy - Anatomischer Anzeiger
- Published
- 2026-02-05
- DOI
- https://doi.org/10.1016/j.aanat.2026.152803
- Citations
- 1
- Primary Topic
- Animal Behavior and Welfare Studies
- Type
- article
- Field-Weighted Citation Impact
- 45.92