3D Automated Segmentation of Lower Leg Muscles Using Machine Learning on a Heterogeneous Dataset

Quantitative MRI combines non-invasive imaging techniques to reveal alterations in muscle pathophysiology. Creating muscle-specific labels manually is time consuming and requires an experienced examiner. Semi-automatic and fully automatic methods reduce segmentation time significantly. Current machi...

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Detalles Bibliográficos
Autores principales: Rohm, Marlena, Markmann, Marius, Forsting, Johannes, Rehmann, Robert, Froeling, Martijn, Schlaffke, Lara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534967/
https://www.ncbi.nlm.nih.gov/pubmed/34679445
http://dx.doi.org/10.3390/diagnostics11101747

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534967/
https://www.ncbi.nlm.nih.gov/pubmed/34679445
http://dx.doi.org/10.3390/diagnostics11101747

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