Deep learning methods allow fully automated segmentation of metacarpal bones to quantify volumetric bone mineral density

Deep learning methods allow fully automated segmentation of metacarpal bones to quantify volumetric bone mineral density

Abstract Arthritis patients develop hand bone loss, which leads to destruction and functional impairment of the affected joints. High resolution peripheral quantitative computed tomography (HR-pQCT) allows the quantification of volumetric bone mineral density (vBMD) and bone microstructure in vivo w...

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Autores principales: Lukas Folle, Timo Meinderink, David Simon, Anna-Maria Liphardt, Gerhard Krönke, Georg Schett, Arnd Kleyer, Andreas Maier
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/fe15b3d6fc804cfc8e6404bf83ab7a66
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