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Knee Cartilage Degeneration Detection using Machine Learning Algorithm

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Knee Cartilage Degeneration Detection using Machine Learning Algorithm


Dhanashree D. Kul | Dr. Prabhat Pallav | Prof. M. U. Inamdar



Dhanashree D. Kul | Dr. Prabhat Pallav | Prof. M. U. Inamdar "Knee Cartilage Degeneration Detection using Machine Learning Algorithm" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-9 | Issue-2, April 2025, pp.917-925, URL: https://www.ijtsrd.com/papers/ijtsrd78457.pdf

Connective tissue that helps the joints and bones is named as Cartilage which is present between the bones. Degradation of the tissues between the bones is known as osteoarthritis (OA). It affects the lots of population worldwide which leads to Ache, Rigidity, and Immobility. Early osteoarthritis detection and categorization are challenging for precise analysis and appropriate treatment. Treatments which are followed earlier are totally depends upon the clinical investigations like radiographic x-ray images which is very time-consuming. Subsequently, these processed images are categorized as normal & osteoarthritis. Our goal is to detect knee osteoarthritis. Latest research on machine learning Artificial intelligence(AI) techniques provide much better solutions for the medical image findings and give better solutions for the analysis of osteoarthritis (OA) using different types of imaging technologies. In order to detect OA, this study focuses on Grey-Level Co-Occurrence Matrix (GLCM) feature extraction in conjunction with ML classifiers, specifically Naïve Bayes, Random Forest, and Decision Tree. The Random Forest classifier reaches an accuracy of 89%, according to experimental results. This will help to improve the quality of life.

Osteoarthritis detection, X-ray images, segmentation, machine learning classifier


IJTSRD78457
Volume-9 | Issue-2, April 2025
917-925
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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