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 …

Transfer learning-based smart features engineering for osteoarthritis diagnosis from knee X-ray images

A Rehman, A Raza, FS Alamri, B Alghofaily… - IEEE Access, 2023 - ieeexplore.ieee.org
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 …

Ensemble deep-learning networks for automated osteoarthritis grading in knee X-ray images

SW Pi, BD Lee, MS Lee, HJ Lee - Scientific Reports, 2023 - nature.com
Abstract The Kellgren–Lawrence (KL) grading system is a scoring system for classifying the
severity of knee osteoarthritis using X-ray images, and it is the standard X-ray-based grading …

Knee osteoarthritis severity prediction using an attentive multi-scale deep convolutional neural network

RK Jain, PK Sharma, S Gaj, A Sur, P Ghosh - Multimedia Tools and …, 2024 - Springer
Knee Osteoarthritis (OA) is a destructive joint disease identified by joint stiffness, pain, and
functional disability concerning millions of lives across the globe. It is generally assessed by …

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 …

Automatic knee osteoarthritis diagnosis from plain radiographs: a deep learning-based approach

A Tiulpin, J Thevenot, E Rahtu, P Lehenkari… - Scientific reports, 2018 - nature.com
Knee osteoarthritis (OA) is the most common musculoskeletal disorder. OA diagnosis is
currently conducted by assessing symptoms and evaluating plain radiographs, but this …

Knee osteoarthritis detection and classification using x-rays

T Tariq, Z Suhail, Z Nawaz - IEEE Access, 2023 - ieeexplore.ieee.org
Knee osteoarthritis is a common form of arthritis, a chronic and progressive disease
recognized by joint space narrowing, osteophyte formation, sclerosis, and bone deformity …

Knee osteoarthritis detection and severity classification using residual neural networks on preprocessed x-ray images

AS Mohammed, AA Hasanaath, G Latif, A Bashar - Diagnostics, 2023 - mdpi.com
One of the most common and challenging medical conditions to deal with in old-aged
people is the occurrence of knee osteoarthritis (KOA). Manual diagnosis of this disease …

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 …

Toward automatic quantification of knee osteoarthritis severity using improved Faster R-CNN

B Liu, J Luo, H Huang - … journal of computer assisted radiology and …, 2020 - Springer
Purpose Knee osteoarthritis (OA) is a common disease that impairs knee function and
causes pain. Radiologists usually review knee X-ray images and grade the severity of the …