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 …
[Retracted] Multicentre Study Using Machine Learning Methods in Clinical Diagnosis of Knee Osteoarthritis
K Zeng, Y Hua, J Xu, T Zhang, Z Wang… - Journal of …, 2021 - Wiley Online Library
Knee osteoarthritis (OA) is one of the most common musculoskeletal disorders. OA
diagnosis is currently conducted by assessing symptoms and evaluating plain radiographs …
diagnosis is currently conducted by assessing symptoms and evaluating plain radiographs …
Deep neural networks for automatic classification of knee osteoarthritis severity based on X-ray images
R Tri Wahyuningrum, A Yasid… - Proceedings of the 2020 …, 2020 - dl.acm.org
Knee Osteoarthritis (KOA) is a type of chronic disease that commonly occurs in older, obese
citizens and those with a sedentary lifestyle. This disease causes damage to knee cartilage …
citizens and those with a sedentary lifestyle. This disease causes damage to knee cartilage …
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 …
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 …
Knee osteoarthritis detection and severity classification using residual neural networks on preprocessed x-ray images
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 …
people is the occurrence of knee osteoarthritis (KOA). Manual diagnosis of this disease …
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 …
Osteo-Doc: KL-grading of osteoarthritis using deep-learning
Various deep learning frameworks are being proposed for autonomous detection of
diseases to contribute towards telemedicine. Moreover, in spite of low doctor to patient ratio …
diseases to contribute towards telemedicine. Moreover, in spite of low doctor to patient ratio …
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 …
[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 …