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...

Descripción completa

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

Internet

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

Ejemplares similares