… in these studies was based on deep learning — a machine learning approach based on
the automatic learning of the relevant features found in the data. Deep learning (DL), and in …

… of knee osteoarthritis from the Web of Science database and discussed the various state-of-the-art
deep learning … possibility of 3D CNN in the knee osteoarthritis field. We concluded by …

… deep learning (DL) risk assessment models for predicting pain progression in subjects with
or at risk of knee osteoarthritis … and deep learning (DL) analysis of baseline knee radiographs …

… In summary, we developed a deep learning (DL) model to predict both the probability of total
knee replacement (TKR) within 9 years and the Kellgren-Lawrence grade by using baseline …

… tests performed to identify osteoarthritis in the knee, most of … methodology for diagnosing
osteoarthritis in the knee in a … the knee, the recording of the flexion degree in the knee and …

… process to diagnose osteoarthritis based on deep learning. We demonstrated that transfer
learning from the object detection domain could be successfully applied to knee joint area …

… identifying future progressors of knee OA to assess whether knee MR images could … deep
learning method using MR images to build up a predictive model for future progression of knee …

… 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 …

… Prevalence for knee osteoarthritis is rising in both Sweden and globally due to increased …
demand for knee arthroplasties. Correct diagnosis and classification of a knee osteoarthritis (OA…

… osteoarthritis initiative study (https://oai.epiucsf.org/). Through this study, different deep learning
… high risk of developing KOA in one knee at least. Different subgroups were investigated …