Smart Knee X-Ray Analysis for Osteoarthritis Diagnosis
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. Key words: computer vision, image processing, guidance system, and object recognition.
Authors
- Carounanidy Usha
Publication Details
- Journal
- INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
- Published
- 2025-05-14
- DOI
- https://doi.org/10.55041/ijsrem47779
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00