Automatic knee osteoarthritis diagnosis from plain radiographs: a deep learning-based approach
Knee osteoarthritis (OA) is the most common musculoskeletal disorder. OA diagnosis is
currently conducted by assessing symptoms and evaluating plain radiographs, but this …
currently conducted by assessing symptoms and evaluating plain radiographs, but this …
Detection and classification of knee osteoarthritis
JH Cueva, D Castillo, H Espinós-Morató, D Durán… - Diagnostics, 2022 - mdpi.com
Osteoarthritis (OA) affects nearly 240 million people worldwide. Knee OA is the most
common type of arthritis, especially in older adults. Physicians measure the severity of knee …
common type of arthritis, especially in older adults. Physicians measure the severity of knee …
Automatic grading of individual knee osteoarthritis features in plain radiographs using deep convolutional neural networks
A Tiulpin, S Saarakkala - Diagnostics, 2020 - mdpi.com
Knee osteoarthritis (OA) is the most common musculoskeletal disease in the world. In
primary healthcare, knee OA is diagnosed using clinical examination and radiographic …
primary healthcare, knee OA is diagnosed using clinical examination and radiographic …
Identifying severity grading of knee osteoarthritis from x-ray images using an efficient mixture of deep learning and machine learning models
SM Ahmed, RJ Mstafa - Diagnostics, 2022 - mdpi.com
Recently, many diseases have negatively impacted people's lifestyles. Among these, knee
osteoarthritis (OA) has been regarded as the primary cause of activity restriction and …
osteoarthritis (OA) has been regarded as the primary cause of activity restriction and …
Automating classification of osteoarthritis according to Kellgren-Lawrence in the knee using deep learning in an unfiltered adult population
S Olsson, E Akbarian, A Lind, AS Razavian… - BMC musculoskeletal …, 2021 - Springer
Background Prevalence for knee osteoarthritis is rising in both Sweden and globally due to
increased age and obesity in the population. This has subsequently led to an increasing …
increased age and obesity in the population. This has subsequently led to an increasing …
Automatic detection and classification of knee osteoarthritis using deep learning approach
SS Abdullah, MP Rajasekaran - La radiologia medica, 2022 - Springer
Purpose We developed a tool for locating and grading knee osteoarthritis (OA) from digital X-
ray images and illustrate the possibility of deep learning techniques to predict knee OA as …
ray images and illustrate the possibility of deep learning techniques to predict knee OA as …
DeepKneeExplainer: explainable knee osteoarthritis diagnosis from radiographs and magnetic resonance imaging
Osteoarthritis (OA) is a degenerative joint disease, which significantly affects middle-aged
and elderly people. Although primarily identified via hyaline cartilage change based on …
and elderly people. Although primarily identified via hyaline cartilage change based on …
[HTML][HTML] A fully automatic fine tuned deep learning model for knee osteoarthritis detection and progression analysis
Knee osteoarthritis (KOA) sufferers have one of the highest disability-adjusted life years. The
entire knee joint is affected by KOA. KOA is a condition that makes it hard for the knee to …
entire knee joint is affected by KOA. KOA is a condition that makes it hard for the knee to …
Attention-based cnn for kl grade classification: Data from the osteoarthritis initiative
Knee osteoarthritis (OA) is a chronic degenerative disorder of joints and it is the most
common reason leading to total knee joint replacement. Diagnosis of OA involves subjective …
common reason leading to total knee joint replacement. Diagnosis of OA involves subjective …
Automated classification of radiographic knee osteoarthritis severity using deep neural networks
Purpose To develop an automated model for staging knee osteoarthritis severity from
radiographs and to compare its performance to that of musculoskeletal radiologists …
radiographs and to compare its performance to that of musculoskeletal radiologists …
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