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 …

Computational Intelligence-Based Disease Severity Identification: A Review of Multidisciplinary Domains

S Bhakar, D Sinwar, N Pradhan, VS Dhaka… - Diagnostics, 2023 - mdpi.com
Disease severity identification using computational intelligence-based approaches is
gaining popularity nowadays. Artificial intelligence and deep-learning-assisted approaches …

Explainable machine learning for knee osteoarthritis diagnosis based on a novel fuzzy feature selection methodology

C Kokkotis, C Ntakolia, S Moustakidis, G Giakas… - … Engineering Sciences in …, 2022 - Springer
Abstract Knee Osteoarthritis (ΚΟΑ) is a degenerative joint disease of the knee that results
from the progressive loss of cartilage. Due to KOA's multifactorial nature and the poor …

CT-and MRI-based 3D reconstruction of knee joint to assess cartilage and bone

FK Ciliberti, L Guerrini, AE Gunnarsson, M Recenti… - Diagnostics, 2022 - mdpi.com
For the observation of human joint cartilage, X-ray, computed tomography (CT) or magnetic
resonance imaging (MRI) are the main diagnostic tools to evaluate pathologies or traumas …

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 …

Empowering lower limb disorder identification through PoseNet and artificial intelligence

HUR Siddiqui, AA Saleem, MA Raza, SG Villar… - Diagnostics, 2023 - mdpi.com
A novel approach is presented in this study for the classification of lower limb disorders, with
a specific emphasis on the knee, hip, and ankle. The research employs gait analysis and the …

Footwear-integrated force sensing resistor sensors: A machine learning approach for categorizing lower limb disorders

HUR Siddiqui, S Nawaz, MN Saeed, AA Saleem… - … Applications of Artificial …, 2024 - Elsevier
Lower limb disorders are a substantial contributor to both disability and lower standards of
life. The prevalent disorders affecting the lower limbs include osteoarthritis of the knee, hip …

Analyzing fibrous tissue pattern in fibrous dysplasia bone images using deep R-CNN networks for segmentation

A Saranya, K Kottursamy, AA AlZubi, AK Bashir - Soft Computing, 2022 - Springer
Predictive health monitoring systems help to detect human health threats in the early stage.
Evolving deep learning techniques in medical image analysis results in efficient feedback in …

Pathological gait classification using early and late fusion of foot pressure and skeleton data

MT Naseem, H Seo, NH Kim, CS Lee - Applied Sciences, 2024 - mdpi.com
Classifying pathological gaits is crucial for identifying impairments in specific areas of the
human body. Previous studies have extensively employed machine learning and deep …

Detection of osteoarthritis by using multiple edge detections

J Deny, B Perumal, P Nagaraj… - … and Control Systems …, 2022 - ieeexplore.ieee.org
Nowadays, Arthritis is a common disease among older people that influences the joints. It
creates ache and inflammation, making it tough to walk, run or live active. Estimating the …