Evaluation of a deep learning software for automated measurements on full-leg standing radiographs

Evaluation of a deep learning software for automated measurements on full-leg standing radiographs

Abstract Background Precise lower limb measurements are crucial for assessing musculoskeletal health; fully automated solutions have the potential to enhance standardization and reproducibility of these measurements. This study compared the measurements performed by BoneMetrics (Gleamer, Paris, Fran...

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Main Authors: Louis Lassalle, Nor-Eddine Regnard, Marion Durteste, Jeanne Ventre, Vincent Marty, Lauryane Clovis, Zekun Zhang, Nicolas Nitche, Alexis Ducarouge, Jean-Denis Laredo, Ali Guermazi
Format: Article
Language:English
Published: BMC 2024-11-01
Series:Knee Surgery & Related Research
Subjects:
Leg measurements
Artificial intelligence
Radiography
Online Access:https://doi.org/10.1186/s43019-024-00246-1
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https://doi.org/10.1186/s43019-024-00246-1

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