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Automatic segmentation of human knee anatomy by a convolutional neural network applying a 3D MRI protocol

BACKGROUND: To study deep learning segmentation of knee anatomy with 13 anatomical classes by using a magnetic resonance (MR) protocol of four three-dimensional (3D) pulse sequences, and evaluate possible clinical usefulness. METHODS: The sample selection involved 40 healthy right knee volumes from...

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Detalles Bibliográficos
Autores principales:	Kulseng, Carl Petter Skaar, Nainamalai, Varatharajan, Grøvik, Endre, Geitung, Jonn-Terje, Årøen, Asbjørn, Gjesdal, Kjell-Inge
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2023
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9847207/ https://www.ncbi.nlm.nih.gov/pubmed/36650496 http://dx.doi.org/10.1186/s12891-023-06153-y

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