aceComparison of the Performances of Deep Learning Methods in Kellgren-Lawrence Classification of Knee Osteoarthritis: A Multicenter Study
Knee osteoarthritis (OA) causes symptoms such as pain, stiffness, and functional limitation in the knees; plain knee radiographs are used in addition to physical examination in its diagnosis. This study aimed to compare the performance of pre-trained deep learning models in knee OA classification and to examine the effects of lateral knee radiographs and patient clinical data on the performance of these models. Eight centers participated in the study; radiographs from six centers were used for training, validati…
VGG-16 classified Kellgren-Lawrence knee osteoarthritis grades better than four other pretrained architectures, reaching an AUC of 0.93 and a quadratic weighted kappa of 0.91 on test data.
Evidence
- Peer-reviewedJournal of Imaging Informatics in Medicine2026-10-13
How should this claim be treated?
Truvace Impact Record TRV-2026-2020, v1: “Comparison of the Performances of Deep Learning Methods in Kellgren-Lawrence Classification of Knee Osteoarthritis: A Multicenter Study.” Truvace, 2026-10-20. /record/TRV-2026-2020 (accessed at citation time). sha256 735d22763762db20…
Calibration history
Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.
Certified into the record
How to verify without trusting this page
Fetch the canonical text of any version from /api/record/TRV-2026-2020 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.