Deep learning for automatic segmentation of thigh and leg muscles

OBJECTIVE: In this study we address the automatic segmentation of selected muscles of the thigh and leg through a supervised deep learning approach. MATERIAL AND METHODS: The application of quantitative imaging in neuromuscular diseases requires the availability of regions of interest (ROI) drawn on...

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Detalles Bibliográficos
Autores principales: Agosti, Abramo, Shaqiri, Enea, Paoletti, Matteo, Solazzo, Francesca, Bergsland, Niels, Colelli, Giulia, Savini, Giovanni, Muzic, Shaun I., Santini, Francesco, Deligianni, Xeni, Diamanti, Luca, Monforte, Mauro, Tasca, Giorgio, Ricci, Enzo, Bastianello, Stefano, Pichiecchio, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188532/
https://www.ncbi.nlm.nih.gov/pubmed/34665370
http://dx.doi.org/10.1007/s10334-021-00967-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188532/
https://www.ncbi.nlm.nih.gov/pubmed/34665370
http://dx.doi.org/10.1007/s10334-021-00967-4

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