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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Kulseng, Carl Petter Skaar, Nainamalai, Varatharajan, Grøvik, Endre, Årøen, Asbjørn, Geitung, Jonn Terje, Gjesdal, Kjell-Inge
Format:	Artikel
Sprache:	eng
Schlagworte:	deep learning knee images segmentation Magnetic Resonance Imaging musculoskeletal visualization
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!