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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Bibliographic Details
Main Authors: Lukas Folle, Timo Meinderink, David Simon, Anna-Maria Liphardt, Gerhard Krönke, Georg Schett, Arnd Kleyer, Andreas Maier
Format: Article
Language:English
Published: Nature Portfolio 2021-05-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-89111-9

Internet

https://doi.org/10.1038/s41598-021-89111-9

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