Exploring the Efficacy of Base Data Augmentation Methods in Deep Learning-Based Radiograph Classification of Knee Joint Osteoarthritis

Exploring the Efficacy of Base Data Augmentation Methods in Deep Learning-Based Radiograph Classification of Knee Joint Osteoarthritis

Diagnosing knee joint osteoarthritis (KOA), a major cause of disability worldwide, is challenging due to subtle radiographic indicators and the varied progression of the disease. Using deep learning for KOA diagnosis requires broad, comprehensive datasets. However, obtaining these datasets poses sig...

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Bibliographic Details
Main Authors: Fabi Prezja, Leevi Annala, Sampsa Kiiskinen, Timo Ojala
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Algorithms
Subjects:
knee joint osteoarthritis (KOA)
global disability
data augmentation
technique selection
data variability
deep learning
Online Access:https://www.mdpi.com/1999-4893/17/1/8

Internet

https://www.mdpi.com/1999-4893/17/1/8

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