Deep Learning for Automated Measurement of Patellofemoral Anatomic Landmarks

Deep Learning for Automated Measurement of Patellofemoral Anatomic Landmarks

Background: Patellofemoral anatomy has not been well characterized. Applying deep learning to automatically measure knee anatomy can provide a better understanding of anatomy, which can be a key factor in improving outcomes. Methods: 483 total patients with knee CT imaging (April 2017–May 2022) from...

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Bibliographic Details
Main Authors: Zelong Liu, Alexander Zhou, Valentin Fauveau, Justine Lee, Philip Marcadis, Zahi A. Fayad, Jimmy J. Chan, James Gladstone, Xueyan Mei, Mingqian Huang
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Bioengineering
Subjects:
deep learning
body weights and measures
patellofemoral joint
arthroplasty
knee replacement
CT
Online Access:https://www.mdpi.com/2306-5354/10/7/815

Internet

https://www.mdpi.com/2306-5354/10/7/815

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