Machine learning and deep learning frameworks for the automated analysis of pain and opioid withdrawal behaviors

The automation of behavioral tracking and analysis in preclinical research can serve to advance the rate of research outcomes, increase experimental scalability, and challenge the scientific reproducibility crisis. Recent advances in the efficiency, accuracy, and accessibility of deep learning (DL)...

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Detalhes bibliográficos

Principais autores:	Jacob R. Bumgarner, Darius D. Becker-Krail, Rhett C. White, Randy J. Nelson
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2022-09-01
coleção:	Frontiers in Neuroscience
Assuntos:	pain opioid withdrawal opioid use disorder (OUD) deep learning machine learning markerless tracking
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fnins.2022.953182/full
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