A comparative systematic literature review on knee bone reports from mri, x-rays and ct scans using deep learning and machine learning methodologies

H Khalid, M Hussain, MA Al Ghamdi, T Khalid, K Khalid… - Diagnostics, 2020 - mdpi.com
The purpose of this research was to provide a “systematic literature review” of knee bone
reports that are obtained by MRI, CT scans, and X-rays by using deep learning and machine …

Digital health, big data and smart technologies for the care of patients with systemic autoimmune diseases: where do we stand?

H Bergier, L Duron, C Sordet, L Kawka… - Autoimmunity …, 2021 - Elsevier
The past decade has seen tremendous development in digital health, including in innovative
new technologies such as Electronic Health Records, telemedicine, virtual visits, wearable …

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 …

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 …

A decision support tool for early detection of knee OsteoArthritis using X-ray imaging and machine learning: Data from the OsteoArthritis Initiative

A Brahim, R Jennane, R Riad, T Janvier… - … Medical Imaging and …, 2019 - Elsevier
This paper presents a fully developed computer aided diagnosis (CAD) system for early
knee OsteoArthritis (OA) detection using knee X-ray imaging and machine learning …

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 …

Detection and classification of knee osteoarthritis

JH Cueva, D Castillo, H Espinós-Morató, D Durán… - Diagnostics, 2022 - mdpi.com
Osteoarthritis (OA) affects nearly 240 million people worldwide. Knee OA is the most
common type of arthritis, especially in older adults. Physicians measure the severity of knee …

An automatic knee osteoarthritis diagnosis method based on deep learning: data from the osteoarthritis initiative

Y Wang, X Wang, T Gao, L Du… - Journal of Healthcare …, 2021 - Wiley Online Library
Osteoarthritis (OA) is the most common form of arthritis. According to the evidence presented
on both sides of the knee bones, radiologists assess the severity of OA based on the …

Recognition of knee osteoarthritis (KOA) using YOLOv2 and classification based on convolutional neural network

U Yunus, J Amin, M Sharif, M Yasmin, S Kadry… - Life, 2022 - mdpi.com
Knee osteoarthritis (KOA) is one of the deadliest forms of arthritis. If not treated at an early
stage, it may lead to knee replacement. That is why early diagnosis of KOA is necessary for …

A strategy for conceptual model acquisition

JCSP Leite, APM Franco - [1993] Proceedings of the IEEE …, 1993 - ieeexplore.ieee.org
A strategy for conceptual model acquisition is proposed. Knowledge acquisition is
performed with a simple structure, ie, the lexicon. Using the lexicon and an AI-based …