Abstract:Objective: To provide an automated visualization, pattern analysis and classification of neck muscle boundaries comparing cervical dystonia with healthy controls. Methods: We recorded transverse cervical ultrasound (US) images and whole-body motion analysis of sixty-one standing participants (35 cervical dystonia, 26 age matched controls). We manually annotated 3,100 images sampling a range of pitch, yaw, and roll head movements (2,000 this dataset, 1,100 previous dataset of 28 healthy participants), and train… Show more
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