Automating classification of osteoarthritis according to Kellgren-Lawrence in the knee using deep learning in an unfiltered adult population

S Olsson, E Akbarian, A Lind, AS Razavian… - BMC musculoskeletal …, 2021 - Springer
Background Prevalence for knee osteoarthritis is rising in both Sweden and globally due to
increased age and obesity in the population. This has subsequently led to an increasing …

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 …

Automated knee osteoarthritis severity classification using three‐stage preprocessing method and VGG16 architecture

D Saini, A Khosla, T Chand… - … Journal of Imaging …, 2023 - Wiley Online Library
As a nutshell, an early diagnosis of Knee Osteoarthritis (KOA) enhances the likelihood of an
individual receiving treatment at its onset and prevents joint replacement surgery. Computer …

A siamese network with adaptive gated feature fusion for individual knee OA features grades prediction

K Wang, X Niu, Y Dou, D Xie, T Yang - Scientific Reports, 2021 - nature.com
Grading individual knee osteoarthritis (OA) features is a fine-grained knee OA severity
assessment. Existing methods ignore following problems:(1) more accurately located knee …

[HTML][HTML] Аналитический обзор методов оценки качества алгоритмов классификации в задачах машинного обучения

АА Михайличенко - Вестник Адыгейского государственного …, 2022 - cyberleninka.ru
Рассмотрены основные методы оценки и анализа эффективности различных
алгоритмов классификации с описанием особенностей этих методов и примеров их …

Using squeeze-and-excitation blocks to improve an accuracy of automatically grading knee osteoarthritis severity using convolutional neural networks

АA Mikhaylichenko, YМ Demyanenko - Computer Optics, 2022 - ui.adsabs.harvard.edu
In this paper, we investigate the effect of squeeze-and-excitation blocks on improving the
classification quality of osteoarthritis using convolutional neural networks of the ResNet and …

[HTML][HTML] Использование блоков сжатия и возбуждения для повышения точности автоматической классификации остеоартрита коленного сустава при помощи …

АА Михайличенко, ЯМ Демяненко - Компьютерная оптика, 2022 - cyberleninka.ru
В данной работе исследуется влияние блоков сжатия и возбуждения на улучшение
качества классификации остеоартрита при помощи сверточных нейронных сетей с …

Grading the Severity and Progression of Knee Osteoarthritis with Deep Learning Methods

W Wu - 2024 - ses.library.usyd.edu.au
Knee osteoarthritis (KOA) is a highly prevalent form of arthritis and a leading cause of
physical disability, given the growing aging population. To assist these KOA assessments …

[PDF][PDF] Using Artificial Intelligence to classify osteoarthritis in the knee joint

HA Ahmed, EA Mohammed - NTU Journal of Engineering and Technology, 2022 - iasj.net
Knee osteoarthritis (KOA) is a disorder that predominantly affects the cartilage in the human
knee joint. In legmovement, cartilage plays a vital function. In osteoarthritis the cartilage's top …