American journal of veterinary research
A deep learning-based markerless gait analysis model for dogs shows promising accuracy when validated with 2-dimensional marker-based data.
Ji-Hwan Pahk, Sung-Jun Park, Ji-Hyun Seo, Hyun-Su Kim, Mi-Jin Son, Young-Seok Jin, Hyun-Jung Kim, Byung-Jae Kang
Published: 202610.2460/ajvr.25.09.0337
Abstract
Objective: To train a deep learning-based markerless gait analysis model from random initialization, tailored for canine gait analysis, in clinical settings and to validate against 2-D marker-based systems. Methods: This prospective observational stu…
Preview only. Read the full abstract at the source