A Review on: Deep Learning and Computer Intelligent Techniques Using X-Ray Imaging for the Early Detection of Knee Osteoarthritis

RD Kale, S Khandelwal - … , Image Processing, Network Security and Data …, 2022 - Springer
One of the most common causes of long-term impairment is knee osteoarthritis, a well-
known disabling illness that lowers mobility and quality of life. It is possible for disease …

Automated classification of radiographic knee osteoarthritis severity using deep neural networks

KA Thomas, Ł Kidziński, E Halilaj… - Radiology: Artificial …, 2020 - pubs.rsna.org
Purpose To develop an automated model for staging knee osteoarthritis severity from
radiographs and to compare its performance to that of musculoskeletal radiologists …

[HTML][HTML] A fully automatic fine tuned deep learning model for knee osteoarthritis detection and progression analysis

S Abd El-Ghany, M Elmogy, AA Abd El-Aziz - Egyptian Informatics Journal, 2023 - Elsevier
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 …

Transfer learning-assisted 3D deep learning models for knee osteoarthritis detection: Data from the osteoarthritis initiative

PSQ Yeoh, KW Lai, SL Goh, K Hasikin… - … in Bioengineering and …, 2023 - frontiersin.org
Knee osteoarthritis is one of the most common musculoskeletal diseases and is usually
diagnosed with medical imaging techniques. Conventionally, case identification using plain …

Osteo-net: An automated system for predicting knee osteoarthritis from x-ray images using transfer-learning-based neural networks approach

HA Alshamrani, M Rashid, SS Alshamrani… - Healthcare, 2023 - mdpi.com
Knee osteoarthritis is a challenging problem affecting many adults around the world. There
are currently no medications that cure knee osteoarthritis. The only way to control the …

Development of an automated optimal distance feature-based decision system for diagnosing knee osteoarthritis using segmented X-ray images

K Fatema, MAH Rony, S Azam, MSH Mukta, A Karim… - Heliyon, 2023 - cell.com
Knee Osteoarthritis (KOA) is a leading cause of disability and physical inactivity. It is a
degenerative joint disease that affects the cartilage, cushions the bones, and protects them …

Automatic detection of knee joints and quantification of knee osteoarthritis severity using convolutional neural networks

J Antony, K McGuinness, K Moran… - … York, NY, USA, July 15-20 …, 2017 - Springer
This paper introduces a new approach to automatically quantify the severity of knee OA
using X-ray images. Automatically quantifying knee OA severity involves two steps: first …

A Convolution Neural Network Design for Knee Osteoarthritis Diagnosis Using X-ray Images.

SH Sajaan Almansour, R Singh… - … Journal of Online & …, 2023 - search.ebscohost.com
Knee osteoarthritis (OA) is a chronic degenerative joint disease affecting millions worldwide,
particularly those over 60. It is a significant cause of disability and can impact an individual's …

Knee osteoarthritis classification using 3D CNN and MRI

C Guida, M Zhang, J Shan - Applied Sciences, 2021 - mdpi.com
Osteoarthritis (OA) is the most common form of arthritis and can often occur in the knee.
While convolutional neural networks (CNNs) have been widely used to study medical …

Emergence of deep learning in knee osteoarthritis diagnosis

PSQ Yeoh, KW Lai, SL Goh, K Hasikin… - Computational …, 2021 - Wiley Online Library
Osteoarthritis (OA), especially knee OA, is the most common form of arthritis, causing
significant disability in patients worldwide. Manual diagnosis, segmentation, and …