Datasets › deepMTJ_IEEEtbme

deepMTJ_IEEEtbme

Introduced by Christoph Leitner et al. in A Human-Centered Machine-Learning Approach for Muscle-Tendon Junction Tracking in Ultrasound Images10 Feb 2022 archive 2025-07-28

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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Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Muscle Tendon Junction Identification

License archive 2025-07-28

CC-BY 4.0

Modalities archive 2025-07-28

Images

Languages archive 2025-07-28

English

Variants archive 2025-07-28

deepMTJ_IEEEtbme

1 variant name, as the archive lists them.

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