Deep learning applications in osteoarthritis imaging

R Kijowski, J Fritz, CM Deniz - Skeletal radiology, 2023 - Springer
Deep learning (DL) is one of the most exciting new areas in medical imaging. This article will
provide a review of current applications of DL in osteoarthritis (OA) imaging, including …

Knee osteoarthritis classification using 3D CNN and MRI

C Guida, M Zhang, J Shan - Applied Sciences, 2021 - mdpi.com
Osteoarthritis (OA) is the most common form of arthritis and can often occur in the knee.
While convolutional neural networks (CNNs) have been widely used to study medical …

DeepKneeExplainer: explainable knee osteoarthritis diagnosis from radiographs and magnetic resonance imaging

MR Karim, J Jiao, T Doehmen, M Cochez… - IEEE …, 2021 - ieeexplore.ieee.org
Osteoarthritis (OA) is a degenerative joint disease, which significantly affects middle-aged
and elderly people. Although primarily identified via hyaline cartilage change based on …

Predicting knee osteoarthritis severity: comparative modeling based on patient's data and plain X-ray images

J Abedin, J Antony, K McGuinness, K Moran… - Scientific reports, 2019 - nature.com
Knee osteoarthritis (KOA) is a disease that impairs knee function and causes pain. A
radiologist reviews knee X-ray images and grades the severity level of the impairments …

Emergence of deep learning in knee osteoarthritis diagnosis

PSQ Yeoh, KW Lai, SL Goh, K Hasikin… - Computational …, 2021 - Wiley Online Library
Osteoarthritis (OA), especially knee OA, is the most common form of arthritis, causing
significant disability in patients worldwide. Manual diagnosis, segmentation, and …

Automatic detection of knee joints and quantification of knee osteoarthritis severity using convolutional neural networks

J Antony, K McGuinness, K Moran… - … York, NY, USA, July 15-20 …, 2017 - Springer
This paper introduces a new approach to automatically quantify the severity of knee OA
using X-ray images. Automatically quantifying knee OA severity involves two steps: first …

Machine learning-based automatic classification of knee osteoarthritis severity using gait data and radiographic images

SB Kwon, HS Han, MC Lee, HC Kim, Y Ku - IEEE Access, 2020 - ieeexplore.ieee.org
Knee osteoarthritis (KOA) is a leading cause of disability among elderly adults, and it causes
pain and discomfort and limits the functional independence of such adults. The aim of this …

Automated classification of radiographic knee osteoarthritis severity using deep neural networks

KA Thomas, Ł Kidziński, E Halilaj… - Radiology: Artificial …, 2020 - pubs.rsna.org
Purpose To develop an automated model for staging knee osteoarthritis severity from
radiographs and to compare its performance to that of musculoskeletal radiologists …

Multi-feature-based classification of osteoarthritis in knee joint x-ray images

RS Hegadi, DN Navale, TD Pawar, DD Ruikar - Medical Imaging, 2019 - taylorfrancis.com
Osteoarthritis (OA) is one of the diseases commonly occurring in the joints of the knee, hip,
and hand. It results in a loss of cartilage. The patient suffering from the symptoms of OA will …

A decision support tool for early detection of knee OsteoArthritis using X-ray imaging and machine learning: Data from the OsteoArthritis Initiative

A Brahim, R Jennane, R Riad, T Janvier… - … Medical Imaging and …, 2019 - Elsevier
This paper presents a fully developed computer aided diagnosis (CAD) system for early
knee OsteoArthritis (OA) detection using knee X-ray imaging and machine learning …