A novel hybrid approach based on deep cnn features to detect knee osteoarthritis
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 …
especially adults. Among these, bone diseases, including Knee Osteoarthritis (KOA), have a …
Transfer learning-based smart features engineering for osteoarthritis diagnosis from knee X-ray images
Osteoarthritis is a deteriorating joint disease affecting millions worldwide. Osteoarthritis is a
chronic condition that develops over time due to joint wear and tears. The degeneration of …
chronic condition that develops over time due to joint wear and tears. The degeneration of …
Knee osteoarthritis detection and classification using x-rays
Knee osteoarthritis is a common form of arthritis, a chronic and progressive disease
recognized by joint space narrowing, osteophyte formation, sclerosis, and bone deformity …
recognized by joint space narrowing, osteophyte formation, sclerosis, and bone deformity …
Automatic detection and classification of knee osteoarthritis using deep learning approach
SS Abdullah, MP Rajasekaran - La radiologia medica, 2022 - Springer
Purpose We developed a tool for locating and grading knee osteoarthritis (OA) from digital X-
ray images and illustrate the possibility of deep learning techniques to predict knee OA as …
ray images and illustrate the possibility of deep learning techniques to predict knee OA as …
Automatic detection of knee joints and quantification of knee osteoarthritis severity using convolutional neural networks
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 …
using X-ray images. Automatically quantifying knee OA severity involves two steps: first …
Automatic grading of individual knee osteoarthritis features in plain radiographs using deep convolutional neural networks
A Tiulpin, S Saarakkala - Diagnostics, 2020 - mdpi.com
Knee osteoarthritis (OA) is the most common musculoskeletal disease in the world. In
primary healthcare, knee OA is diagnosed using clinical examination and radiographic …
primary healthcare, knee OA is diagnosed using clinical examination and radiographic …
[HTML][HTML] Evaluation of artificial intelligence models for osteoarthritis of the knee using deep learning algorithms for orthopedic radiographs
BACKGROUND Deep learning, a form of artificial intelligence, has shown promising results
for interpreting radiographs. In order to develop this niche machine learning (ML) program of …
for interpreting radiographs. In order to develop this niche machine learning (ML) program of …
Identifying severity grading of knee osteoarthritis from x-ray images using an efficient mixture of deep learning and machine learning models
SM Ahmed, RJ Mstafa - Diagnostics, 2022 - mdpi.com
Recently, many diseases have negatively impacted people's lifestyles. Among these, knee
osteoarthritis (OA) has been regarded as the primary cause of activity restriction and …
osteoarthritis (OA) has been regarded as the primary cause of activity restriction and …
Toward automatic quantification of knee osteoarthritis severity using improved Faster R-CNN
B Liu, J Luo, H Huang - … journal of computer assisted radiology and …, 2020 - Springer
Purpose Knee osteoarthritis (OA) is a common disease that impairs knee function and
causes pain. Radiologists usually review knee X-ray images and grade the severity of the …
causes pain. Radiologists usually review knee X-ray images and grade the severity of the …
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 …
common type of arthritis, especially in older adults. Physicians measure the severity of knee …
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