aceAutomated diagnostic system for classification of progression stages of osteoarthritis using magnetic resonance imaging
Osteoarthritis (OA) is a degenerative joint disease characterized by cartilage loss, synovial fluid imbalance, and bone structural changes, leading to reduced mobility. Most clinical studies use MRI-derived cartilage characteristics to assess OA progression. To support timely treatment decisions and minimize human error, an automated computer aided system is needed for prediction of OA in the progressive stages. To build the automatic system for classifying progression phases of OA, we present a novel hybrid fra…
A hybrid attention-enhanced segmentation plus morphological feature classification framework classified OA progression stages at 18-month and 30-month follow-ups from OAI longitudinal knee MRI, achieving 86.67% accuracy with Random Forest to support timely treatment decisions.
Evidence
- Peer-reviewedPhysica Medica2026-08-15
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Truvace Impact Record TRV-2026-0804, v1: “Automated diagnostic system for classification of progression stages of osteoarthritis using magnetic resonance imaging.” Truvace, 2026-08-17. /record/TRV-2026-0804 (accessed at citation time). sha256 dc196129c5b45d3e…
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