{"url":"/dataset/deepmtj-ieeetbme","name":"deepMTJ_IEEEtbme","full_name":null,"description_markdown":"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).","description_withheld":null,"homepage":"https://osf.io/wgy4d/","introduced_date":"2022-02-10","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-human-centered-machine-learning-approach-1","title":"A Human-Centered Machine-Learning Approach for Muscle-Tendon Junction Tracking in Ultrasound Images","first_author":"Christoph Leitner","url":null},"license":{"name":"CC-BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Muscle Tendon Junction Identification","url":"/task/muscle-tendon-junction-identification","datasets_with_task":"/datasets/task/muscle-tendon-junction-identification"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["deepMTJ_IEEEtbme"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}