Machine learning-driven Heckmatt grading in facioscapulohumeral muscular dystrophy: A novel pathway for musculoskeletal ultrasound analysis

The “Machine Learning-Driven Heckmatt Grading in Facioscapulohumeral Muscular Dystrophy” dataset provides a comprehensive collection of musculoskeletal ultrasound images, associated segmentation masks, model configurations, and relevant subject information aimed at facilitating advanced research in neuromuscular disease diagnostics. Built around the Heckmatt grading system, this dataset supports precise muscle characterization and classification, enabling clinicians and researchers to efficiently explore the diagnostic potential of automated ultrasound image analysis. By leveraging both binary and multi-label segmentation strategies, it offers a flexible framework to study muscle texture across various muscle groups and anatomical sites.