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                <identifier>oai:data.mendeley.com/7bcsvh6nfv.2</identifier>
                <datestamp>2025-08-15T20:54:25Z</datestamp>
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    <dc:creator>Błaż, Michał</dc:creator>
    <dc:title>Evaluating machine learning muscle ultrasound models on external data</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This repository contains model weights that were fine-tuned (using uploaded configs) from the original muscle segmentation models described in the paper &quot;Machine learning-driven Heckmatt grading in facioscapulohumeral muscular dystrophy: A novel pathway for musculoskeletal ultrasound analysis&quot; by Marzola et al. DOI: 10.1016/j.clinph.2025.01.016
The framework and idea behind this work can be found in the paper &quot;Evaluating machine learning muscle ultrasound models on external data – is this the way to propagate forward?&quot; by Błaż et al. DOI: 10.1016/j.clinph.2025.2110968
This repository does not contain any muscle ultrasound images.</dc:description>
    <dc:subject>Ultrasonics</dc:subject>
    <dc:subject>Image Segmentation</dc:subject>
    <dc:subject>Muscle Disorder</dc:subject>
    <dc:subject>Ultrasound Imaging of the Muscles</dc:subject>
    <dc:contributor>Ostrowska, Monika</dc:contributor>
    <dc:contributor>Kułaga, Agnieszka</dc:contributor>
    <dc:contributor>Maludzińska, Ewa</dc:contributor>
    <dc:contributor>Michalski, Michał</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/7bcsvh6nfv.2</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/7bcsvh6nfv.2</dc:identifier>
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    <dc:date>2025-08-15T20:54:25Z</dc:date>
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