This dataset comprises 1344 expert annotated images of muscle-tendon junctions recorded with 3 ultrasound imaging systems (Aixplorer V6, Esaote MyLab60, Telemed ArtUs), on 2 muscles (Lateral Gastrocnemius, Medial Gastrocnemius), and 2 movements (isometric maximum voluntary contractions, passive torque movements).
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deepMTJ: Muscle-Tendon Junction Tracking in Ultrasound Images deepMTJ is a machine learning approach for automatically tracking of muscle-tendon junctions (MTJ) in ultrasound images. Our method is based on a convolutional neural network trained to infer MTJ positions across various ultrasound systems from different vendors, collected in independent laboratories from diverse observers, on distinct muscles and movements. We built deepMTJ to support clinical biomechanists and locomotion researchers with an open-source tool for gait analyses.
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