Diagnosis of Patellofemoral Pain Syndrome Based on a Multi-Input Convolutional Neural Network With Data Augmentation

Diagnosis of Patellofemoral Pain Syndrome Based on a Multi-Input Convolutional Neural Network With Data Augmentation

Patellofemoral pain syndrome (PFPS) is a common disease of the knee. Despite its high incidence rate, its specific cause remains unclear. The artificial neural network model can be used for computer-aided diagnosis. Traditional diagnostic methods usually only consider a single factor. However, PFPS...

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Bibliographic Details
Main Authors: Wuxiang Shi, Yurong Li, Baoping Xiong, Min Du
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Public Health
Subjects:
patellofemoral pain syndrome
convolutional neural network
data preprocessing
data augmentation
biomechanical analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2021.643191/full

Internet

https://www.frontiersin.org/articles/10.3389/fpubh.2021.643191/full

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