Year: 2025
Type: article
Abstract: 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.
DOI: 10.55041/ijsrem47779
Author: USHA C D
Institution: Rajeev Institute of Technology
Language: English
Topic: Medical Imaging and Analysis
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4410380297