A clinical knowledge-guided attention framework for gait-based adult spinal deformity diagnosis
Published in SPIE Medical Imaging 2026: Image Processing, 2026
This conference paper introduces a method that uses clinical knowledge to guide a video-based model toward diagnostically important anatomical regions during gait classification.
We encode clinician-informed priors as joint-centered attention maps and integrate them into a spatiotemporal deep-learning pipeline. The goal is to improve both recognition accuracy and interpretability compared with models driven only by raw video features.
Links: SPIE proceedings paper · Code
Recommended citation: Chen K, Asada T, Miura K, Kadone H, Sakashita K, Sunami T, Yamazaki M, Kuroda Y, Kitahara I. A clinical knowledge-guided attention framework for gait-based adult spinal deformity diagnosis. Proceedings of SPIE, vol. 13925, pp. 256–261 (2026). doi:10.1117/12.3083822.
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