Evaluating CNN Architectures for the Automated Detection and Grading of Modic Changes in MRI: A Comparative Study

Evaluating CNN Architectures for the Automated Detection and Grading of Modic Changes in MRI: A Comparative Study

ABSTRACT Objective Modic changes (MCs) classification system is the most widely used method in magnetic resonance imaging (MRI) for characterizing subchondral vertebral marrow changes. However, it shows a high degree of sensitivity to variations in MRI because of its semiquantitative nature. In 2021...

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Bibliographic Details
Main Authors: Li‐peng Xing, Gang Liu, Hao‐chen Zhang, Lei Wang, Shan Zhu, Man Du La Hua Bao, Yan‐ni Wang, Chao Chen, Zhi Wang, Xin‐yu Liu, Shuai Zhang, Qiang Yang
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Orthopaedic Surgery
Subjects:
deep learning
endplate osteochondritis
magnetic resonance imaging
Modic changes
Online Access:https://doi.org/10.1111/os.14280
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https://doi.org/10.1111/os.14280

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