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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM47779
Volume:
9 |
5 |
May 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Smart Knee X-Ray Analysis for Osteoarthritis: An Overview Diagnosis is a machine learning method designed to improve osteoarthritis identification. Millions of people worldwide suffer from osteoarthritis, a degenerative joint condition that causes pain, stiffness, and decreased mobility. In this study, preprocessing methods including data purification and feature extraction are used to evaluate knee X-ray pictures. Machine learning techniques CNN, SVM, and Random Forest are utilized to categorize patients as either normal or having osteoarthritis. By automating diagnostics, the technique improves accuracy and enables early detection. Deep learning is incorporated to guarantee consistent results and give medical professionals an intuitive interface. This strategy aims to enhance patient outcomes, encourage prompt intervention, and lessen long-term joint degeneration.
KEYWORDS
Publication Date
5/14/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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