A comparative analysis of automatic classification and grading methods for knee osteoarthritis focussing on X-ray images
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 …
manual, semi-automatic and automatic knee osteoarthritis (OA) severity classification from …
Computational Intelligence-Based Disease Severity Identification: A Review of Multidisciplinary Domains
Disease severity identification using computational intelligence-based approaches is
gaining popularity nowadays. Artificial intelligence and deep-learning-assisted approaches …
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
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 …
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 …
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
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 …
people is the occurrence of knee osteoarthritis (KOA). Manual diagnosis of this disease …
Empowering lower limb disorder identification through PoseNet and artificial intelligence
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 …
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
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 …
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
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 …
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 …
human body. Previous studies have extensively employed machine learning and deep …
Detection of osteoarthritis by using multiple edge detections
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 …
creates ache and inflammation, making it tough to walk, run or live active. Estimating the …