Towards a fully automated surveillance of well-being status in laboratory mice using deep learning
N. Andresen, M. Wöllhaf, K. Hohlbaum, L. Lewejohann, O. Hellwich, C. Thöne-Reineke, V. Belik
This paper develops a semi-automated system to assess mouse well-being using deep learning, achieving up to 99% accuracy in pain/no-pain classification.
bioRxiv · Mar 19, 2019Animal Behavior & Cognition