PainSeeker: a head pose-invariant deep learning method for assessing rat's pain by facial expressions
The results demonstrate that the proposed PainSeeker model exhibits superior performance and effectiveness in automated pain assessment in rats compared with traditional machine learning and deep learning methods. This provides support for the application of facial expression analysis as a reliable tool for pain evaluation. The RatsPain dataset is freely available at https://github.com/xhzongyuan/RatsPain.
Authors
- Yuan Zong (ORCID: https://orcid.org/0000-0002-0839-8792)
- Jinhua Yu (ORCID: https://orcid.org/0000-0003-4874-9910)
- Cheng Lu (ORCID: https://orcid.org/0000-0002-1477-1020)
- Liu Liu (ORCID: https://orcid.org/0000-0003-3198-2564)
- Guang Li (ORCID: https://orcid.org/0000-0003-2898-2504)
- Zhaoyang Li (ORCID: https://orcid.org/0009-0004-4722-3006)
- Dingfan Deng
Institutions
- Ministry of Education (CL)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Frontiers in Veterinary Science
- Published
- 2025-10-10
- DOI
- https://doi.org/10.3389/fvets.2025.1619794
- Primary Topic
- Veterinary Pharmacology and Anesthesia
- Type
- article
- Field-Weighted Citation Impact
- 0.00