Accurate, automated classification of radiographic knee osteoarthritis severity using a novel method of deep learning: Plug-in modules

Accurate, automated classification of radiographic knee osteoarthritis severity using a novel method of deep learning: Plug-in modules

Abstract Background Fine-grained classification deals with data with a large degree of similarity, such as cat or bird species, and similarly, knee osteoarthritis severity classification [Kellgren–Lawrence (KL) grading] is one such fine-grained classification task. Recently, a plug-in module (PIM) t...

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Bibliographic Details
Main Authors: Do Weon Lee, Dae Seok Song, Hyuk-Soo Han, Du Hyun Ro
Format: Article
Language:English
Published: BMC 2024-08-01
Series:Knee Surgery & Related Research
Subjects:
Knee osteoarthritis
Deep learning
Classification
Online Access:https://doi.org/10.1186/s43019-024-00228-3

Internet

https://doi.org/10.1186/s43019-024-00228-3

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