Automatic Classification of the Severity of Knee Osteoarthritis Using Enhanced Image Sharpening and CNN

نویسندگان

چکیده

Knee osteoarthritis is a significant cause of physical inactivity and disability. Early detection treatment (OA) degeneration can decrease its course. Physicians’ scores may differ significantly amongst interpreters are greatly influenced by personal experience based solely on visual assessment. Deep convolutional neural networks (CNN) in conjunction with the Kellgren–Lawrence (KL) grading system used to assess severity OA knee. Recent research applied for knee using machine learning deep results not encouraging. One major reasons this was that images taken pre-processed correct way. Hence, feature extraction great, thus impacting overall performance model. Image sharpening, type image filtering, required improve clarity due noise X-ray images. The assessment baseline from Osteoarthritis Initiative (OAI). On enhanced acquired utilizing sharpening process, we achieved mean accuracy 91.03%, an improvement 19.03% over earlier 72% original five gradings. method advance joint recognition KL grading.

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ژورنال

عنوان ژورنال: Applied sciences

سال: 2023

ISSN: ['2076-3417']

DOI: https://doi.org/10.3390/app13031658