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Comparative Evaluation of DeepLabCut Convolutional Neural Network Architectures for High-Precision Markerless Tracking in the Mouse Staircase Test

Precise quantification of fine motor behaviour is essential for understanding neural circuit function and for evaluating therapeutic interventions in neurological disorders. While markerless pose estimation frameworks such as DeepLabCut (DLC) have transformed behavioural phenotyping, the choice of c...

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Kaydedildi:
Asıl Yazarlar: Valentin Fernandez, Landoline Bonnin, Afsaneh Gaillard, Christine Fernandez-Maloigne
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: MDPI AG 2026-02-01
Seri Bilgileri:Bioengineering
Konular:
DeepLabCut
convolutional neural networks (CNN)
markerless tracking
staircase test
pose estimation
kinematic analysis
Online Erişim:https://www.mdpi.com/2306-5354/13/2/215
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