Knee osteoarthritis detection and classification using x-rays
Knee osteoarthritis is a common form of arthritis, a chronic and progressive disease
recognized by joint space narrowing, osteophyte formation, sclerosis, and bone deformity …
recognized by joint space narrowing, osteophyte formation, sclerosis, and bone deformity …
Automated staging of knee osteoarthritis severity using deep neural networks
Purpose: We introduce a fully automated, open-source tool for staging knee osteoarthritis
severity from X-ray images. Recent developments in machine learning, specifically in the …
severity from X-ray images. Recent developments in machine learning, specifically in the …
Transfer learning-based smart features engineering for osteoarthritis diagnosis from knee X-ray images
Osteoarthritis is a deteriorating joint disease affecting millions worldwide. Osteoarthritis is a
chronic condition that develops over time due to joint wear and tears. The degeneration of …
chronic condition that develops over time due to joint wear and tears. The degeneration of …
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 …
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 …
A ResNet‐based approach for accurate radiographic diagnosis of knee osteoarthritis
Currently X‐ray images are clinically graded by experienced clinicians using the Kellgren
and Lawrence (KL) scoring method. However, individual scoring is subjective and error …
and Lawrence (KL) scoring method. However, individual scoring is subjective and error …
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 …
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 …
[HTML][HTML] Evaluation of artificial intelligence models for osteoarthritis of the knee using deep learning algorithms for orthopedic radiographs
BACKGROUND Deep learning, a form of artificial intelligence, has shown promising results
for interpreting radiographs. In order to develop this niche machine learning (ML) program of …
for interpreting radiographs. In order to develop this niche machine learning (ML) program of …
Hybrid techniques of x-ray analysis to predict knee osteoarthritis grades based on fusion features of cnn and handcrafted
A Khalid, EM Senan, K Al-Wagih, MM Ali Al-Azzam… - Diagnostics, 2023 - mdpi.com
Knee osteoarthritis (KOA) is a chronic disease that impedes movement, especially in the
elderly, affecting more than 5% of people worldwide. KOA goes through many stages, from …
elderly, affecting more than 5% of people worldwide. KOA goes through many stages, from …