… In this study, we developed an automatic method to predict KL and OARSI grades from knee
… We used transfer learning from ImageNet with a fine-tuning on the Osteoarthritis Initiative (…

… of manual, semi-automatic and automatic knee osteoarthritis (OA) severity classification …
evaluation of knee OA from X-ray images. We have primarily focussed on automatic analysis …

… knee joint images with a novel adjustable ordinal loss. To be specific, motivated by the ordinal
nature of the knee KL grading … The baseline X-ray images from the Osteoarthritis Initiative (…

… to automatically quantify the severity of knee OA using X-ray images. Automatically quantifying
knee OA … (KL) grades as the ground truth to classify the knee OA X-ray images. The KL …

… the real and the predicted KL grades. Several networks of well-… to the problem of assessment
knee osteoarthritis severity. We … Kellgren-Lawrence scale—KL grades of 0–1 were grouped …

… We built a deep learning model for automatic assessment of knee osteoarthritis severity
using the Kellgren-Lawrence grading scheme in this research. We compared our proposed …

… In the present study, we demonstrated a novel approach for automatically diagnosing and
grading knee OA from plain radiographs. In contrast to previous studies, our model uses …

… unilateral knee radiographs from the Osteoarthritis Initiative (… Osteoarthritis Research Society
International (OARSI) grades. … , joint space narrowing OARSI grades and KL grade, in 2 …

… knees from the rest of the image; in the second stage, a regression model automatically
grades each knee … We train our model using the publicly available Osteoarthritis Initiative (OAI) …

… OA, the Kellgren-Lawrence (KL) grading system is the most commonly used method …
limitations in grading knee OA with this system. For example, KL system classifies grades based on …