International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Elevating Patient Care: Precision Knee Osteoarthritis Diagnosis with CNN

Author(s) Balasaheb B. Gite, Nikita Lavhaji Pingale, Pradip Suresh Irkar, Priya Anil Kumar Maurya
Country India
Abstract Knee osteoarthritis (OA) stands as a global behemoth, silently affecting countless lives and challenging healthcare's frontiers.
Precise diagnosis and meticulous severity classification have become the heralds of enlightened clinical care. In this expedition, we set sail on the uncharted waters of medical innovation, navigating by the starlight of Convolutional Neural Networks (CNNs), determined to redefine knee OA's map. Our voyage unfurls with a diverse gallery of knee X-ray images, each a testament to the human experience. We present a pioneering CNN-driven approach, which unveils the intricate tapestry of knee OA and categorizes it into distinctive severity levels. As we venture deeper, our research dissects the CNN's architecture, wields the tools of data preprocessing with artistic finesse, and unearths results that echo the promise of avant-garde technology in sculpting the musculoskeletal landscape. Our contribution marks a shift in the very constellation of knee OA diagnosis—a metamorphosis of precision, efficiency, and a resolute commitment to patient-centric healthcare.
Field Engineering
Published In Volume 5, Issue 6, November-December 2023
Published On 2023-11-15
Cite This Elevating Patient Care: Precision Knee Osteoarthritis Diagnosis with CNN - Balasaheb B. Gite, Nikita Lavhaji Pingale, Pradip Suresh Irkar, Priya Anil Kumar Maurya - IJFMR Volume 5, Issue 6, November-December 2023. DOI 10.36948/ijfmr.2023.v05i06.8926
DOI https://doi.org/10.36948/ijfmr.2023.v05i06.8926
Short DOI https://doi.org/gs4xnk
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