… Kellgren & Lawrence grading scale (KL). We then trained a convolutional neural network
(CNN) of ResNet architecture using PyTorch. We evaluated the results against a test set of 300 …

… ) according to the Kellgren-Lawrence (KL) grading system [35]. Eight transfer learning deep
learning models' efficacy and accuracy in determining KOA severity from a radiograph [36]. …

… Purpose: Recently, Deep Learning (DL) has shown a tremendous potential in automatic
Kellgren-Lawrence (KL) grading and brought the automatic methods to a new performance level…

… The Kellgren-Lawrence (KL) grading system is a commonly used scale to quantitatively …
In this study, we demonstrate a deep learning approach to automatically assessing KL …

… Deep learning has been the most important contributor to the overall progress that has been
… The purpose of the study is to build a deep learning approach that employs information …

… by a radiologist committee using the Kellgren-Lawrence (KL) system were … Deep learning
models have performed better, but previous … Here we take a deep learning approach, training a …

… Since the Kellgren-Lawrence system presupposes an implicit ordering between its grades,
we … plain radiographs: A deep learning-based approach,” Scientific reports, vol. 8, no. 1, pp. …

… In this study, we developed a deep learning model for fully automatic assessment of severity
of knee osteoarthritis according to the Kellgren-Lawrence grading scheme. We compared …

… deep learning model for automatic assessment of knee osteoarthritis severity using the
Kellgren-Lawrence … , and specificity showing the ability of deep learning. In this work, the …

… neural networks to automatically grade knee radiographs on the Kellgren-Lawrence scale.
We show the use of transfer learning to adapt a model trained on one domain for a different …