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 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 …

A new approach to classify knee osteoarthritis severity from radiographic images based on CNN-LSTM method

RT Wahyuningrum, L Anifah… - 2019 IEEE 10th …, 2019 - ieeexplore.ieee.org
This paper introduces a new approach to quantify knee osteoarthritis (OA) severity using
radiographic (X-ray) images. Our new approach combines preprocessing, Convolutional …

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 …

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 …

Knee osteoarthritis severity classification with ordinal regression module

CW Yong, K Teo, BP Murphy, YC Hum, YK Tee… - Multimedia Tools and …, 2022 - Springer
Osteoarthritis (OA) is a common form of knee arthritis which causes significant disability and
is threatening to plague patient's quality of life. Although this chronic condition does not lead …

A discriminative shape-texture convolutional neural network for early diagnosis of knee osteoarthritis from X-ray images

Y Nasser, M El Hassouni, D Hans… - Physical and Engineering …, 2023 - Springer
Knee Osteoarthritis (OA) is one of the most common causes of physical disability worldwide
associated with a significant personal and socioeconomic burden. Deep Learning …

Fully automatic knee osteoarthritis severity grading using deep neural networks with a novel ordinal loss

P Chen, L Gao, X Shi, K Allen, L Yang - Computerized Medical Imaging and …, 2019 - Elsevier
Knee osteoarthritis (OA) is one major cause of activity limitation and physical disability in
older adults. Early detection and intervention can help slow down the OA degeneration …

[HTML][HTML] Deep learning-assisted knee osteoarthritis automatic grading on plain radiographs: the value of multiview X-ray images and prior knowledge

W Li, Z Xiao, J Liu, J Feng, D Zhu, J Liao… - … Imaging in Medicine …, 2023 - ncbi.nlm.nih.gov
Background Knee osteoarthritis (OA) is harmful to people's health. Effective treatment
depends on accurate diagnosis and grading. This study aimed to assess the performance of …

Applying densely connected convolutional neural networks for staging osteoarthritis severity from plain radiographs

B Norman, V Pedoia, A Noworolski, TM Link… - Journal of digital …, 2019 - Springer
Osteoarthritis (OA) classification in the knee is most commonly done with radiographs using
the 0–4 Kellgren Lawrence (KL) grading system where 0 is normal, 1 shows doubtful signs …