Artificial intelligence-based automatic assessment of lower limb torsion on MRI

Abstract Abnormal torsion of the lower limbs may adversely affect joint health. This study developed and validated a deep learning-based method for automatic measurement of femoral and tibial torsion on MRI. Axial T2-weighted sequences acquired of the hips, knees, and ankles of 93 patients (mean age...

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Auteurs principaux: Justus Schock, Daniel Truhn, Darius Nürnberger, Stefan Conrad, Marc Sebastian Huppertz, Sebastian Keil, Christiane Kuhl, Dorit Merhof, Sven Nebelung
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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Accès en ligne:https://doaj.org/article/c14e2bbef8674f8eba836f6d678546f7
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