Automatic femoral articular cartilage segmentation using deep learning in three-dimensional ultrasound images of the knee

Automatic femoral articular cartilage segmentation using deep learning in three-dimensional ultrasound images of the knee

Objective: This study aimed to develop a deep learning-based approach to automatically segment the femoral articular cartilage (FAC) in 3D ultrasound (US) images of the knee to increase time efficiency and decrease rater variability. Design: Our method involved deep learning predictions on 2DUS slic...

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Bibliographic Details
Main Authors: Carla du Toit, Nathan Orlando, Sam Papernick, Robert Dima, Igor Gyacskov, Aaron Fenster
Format: Article
Language:English
Published: Elsevier 2022-09-01
Series:Osteoarthritis and Cartilage Open
Subjects:
Femoral articular cartilage segmentation
3D ultrasound knee imaging
Knee osteoarthritis
Deep learning
Convolutional neural networks
Online Access:http://www.sciencedirect.com/science/article/pii/S2665913122000589

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http://www.sciencedirect.com/science/article/pii/S2665913122000589

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