Automatic grading of knee osteoarthritis from plain radiographs using densely connected convolutional networks

A Mikhaylichenko, Y Demyanenko - Recent Trends in Analysis of Images …, 2021 - Springer
In this paper, we consider densely connected convolutional networks and their applicability
to the problem of assessment of knee osteoarthritis (OA) severity in the five-point Kellgren …

[HTML][HTML] A novel hybrid approach based on deep cnn features to detect knee osteoarthritis

R Mahum, SU Rehman, T Meraj, HT Rauf, A Irtaza… - Sensors, 2021 - mdpi.com
In the recent era, various diseases have severely affected the lifestyle of individuals,
especially adults. Among these, bone diseases, including Knee Osteoarthritis (KOA), have a …

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 …

A comparative analysis of automatic classification and grading methods for knee osteoarthritis focussing on X-ray images

D Saini, T Chand, DK Chouhan, M Prakash - … and Biomedical Engineering, 2021 - Elsevier
Objective The purpose of present review paper is to introduce the reader to key directions of
manual, semi-automatic and automatic knee osteoarthritis (OA) severity classification from …

Knee Osteoarthritis Grading Using DenseNet and Radiographic Images

SV Chaugule, VS Malemath - SN Computer Science, 2022 - Springer
Osteoarthritis (OA) is the constant dilapidation of the bone joint. Knee OA is most typical,
which affects mobility. Joint pain, swelling, stiffness, and strenuous walking are major …

[HTML][HTML] 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 …

[HTML][HTML] A Comparative Study of Machine Learning Classifiers for Enhancing Knee Osteoarthritis Diagnosis

A Raza, TL Phan, HC Li, NV Hieu, TT Nghia… - Information, 2024 - mdpi.com
Knee osteoarthritis (KOA) is a leading cause of disability, particularly affecting older adults
due to the deterioration of articular cartilage within the knee joint. This condition is …

Feature learning to automatically assess radiographic knee osteoarthritis severity

J Antony, K McGuinness, K Moran… - Deep Learners and Deep …, 2020 - Springer
Feature learning refers to techniques that learn to transform raw data input into an effective
representation for further higher-level processing in many computer vision tasks. This …

Stratifying knee osteoarthritis features through multitask deep hybrid learning: data from the osteoarthritis initiative

YX Teoh, A Othmani, KW Lai, SL Goh… - Computer Methods and …, 2023 - Elsevier
Background and objective Knee osteoarthritis (OA) is a debilitating musculoskeletal disorder
that causes functional disability. Automatic knee OA diagnosis has great potential of …

Attention-based cnn for kl grade classification: Data from the osteoarthritis initiative

B Zhang, J Tan, K Cho, G Chang… - 2020 IEEE 17th …, 2020 - ieeexplore.ieee.org
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 …