[HTML][HTML] Machine learning in knee osteoarthritis: A review
Objective The purpose of present review paper is to introduce the reader to key directions of
Machine Learning techniques on the diagnosis and predictions of knee osteoarthritis …
Machine Learning techniques on the diagnosis and predictions of knee osteoarthritis …
[Retracted] Discovering Knee Osteoarthritis Imaging Features for Diagnosis and Prognosis: Review of Manual Imaging Grading and Machine Learning Approaches
Knee osteoarthritis (OA) is a deliberating joint disorder characterized by cartilage loss that
can be captured by imaging modalities and translated into imaging features. Observing …
can be captured by imaging modalities and translated into imaging features. Observing …
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 …
Detection and classification of knee osteoarthritis
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 …
Use of machine learning in osteoarthritis research: a systematic literature review
Objective The aim of this systematic literature review was to provide a comprehensive and
exhaustive overview of the use of machine learning (ML) in the clinical care of osteoarthritis …
exhaustive overview of the use of machine learning (ML) in the clinical care of osteoarthritis …
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 …
The value of deep learning-based X-ray techniques in detecting and classifying KL grades of knee osteoarthritis: a systematic review and meta-analysis
H Zhao, L Ou, Z Zhang, L Zhang, K Liu, J Kuang - European Radiology, 2024 - Springer
Objectives Knee osteoarthritis (KOA), a prevalent degenerative joint disease, is primarily
diagnosed through X-ray imaging. The Kellgren-Lawrence grading system (KL) is the gold …
diagnosed through X-ray imaging. The Kellgren-Lawrence grading system (KL) is the gold …
Machine learning-based automatic classification of knee osteoarthritis severity using gait data and radiographic images
Knee osteoarthritis (KOA) is a leading cause of disability among elderly adults, and it causes
pain and discomfort and limits the functional independence of such adults. The aim of this …
pain and discomfort and limits the functional independence of such adults. The aim of this …
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 …
A robust framework for severity detection of knee osteoarthritis using an efficient deep learning model
With the changing lifestyle, a large population suffers from a bone disease known as an
osteoarthritis affecting the knee, spine, and hip. Therefore, timely detection and classification …
osteoarthritis affecting the knee, spine, and hip. Therefore, timely detection and classification …