OA-MEN: a fusion deep learning approach for enhanced accuracy in knee osteoarthritis detection and classification using X-Ray imaging

OA-MEN: a fusion deep learning approach for enhanced accuracy in knee osteoarthritis detection and classification using X-Ray imaging

BackgroundKnee osteoarthritis (KOA) constitutes the prevailing manifestation of arthritis. Radiographs function as a common modality for primary screening; however, traditional X-ray evaluation of osteoarthritis confronts challenges such as reduced sensitivity, subjective interpretation, and heighte...

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Bibliographic Details
Main Authors: Xiaolu Ren, Lingxuan Hou, Shan Liu, Peng Wu, Siming Liang, Haitian Fu, Chengquan Li, Ting Li, Yongjing Cheng
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
knee osteoarthritis
deep learning
decision making
artificial intelligence
convolution natural network
Online Access:https://www.frontiersin.org/articles/10.3389/fbioe.2024.1437188/full
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https://www.frontiersin.org/articles/10.3389/fbioe.2024.1437188/full

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