A novel computer-assisted diagnosis method of knee osteoarthritis based on multivariate information and deep learning model
Knee Osteoarthritis (KOA) is a chronic joint disease characterized by degeneration of knee's
articular cartilage. Comparing with the imaging diagnostic method, the vibroarthrographic …
articular cartilage. Comparing with the imaging diagnostic method, the vibroarthrographic …
Knee osteoarthritis severity grading using vision transformer
EA Alshareef, FO Ebrahim, Y Lamami… - Journal of Intelligent …, 2022 - content.iospress.com
Knee osteoarthritis severity grading from plain radiographs is of great significance in the
diagnosis of osteoarthritis (OA). Recently, deep learning had a great impact on improving …
diagnosis of osteoarthritis (OA). Recently, deep learning had a great impact on improving …
Can additional patient information improve the diagnostic performance of deep learning for the interpretation of knee osteoarthritis severity
DH Kim, KJ Lee, D Choi, JI Lee, HG Choi… - Journal of Clinical …, 2020 - mdpi.com
The study compares the diagnostic performance of deep learning (DL) with that of the former
radiologist reading of the Kellgren–Lawrence (KL) grade and evaluates whether additional …
radiologist reading of the Kellgren–Lawrence (KL) grade and evaluates whether additional …
[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 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 …
Deep learning for rheumatoid arthritis: Joint detection and damage scoring in x-rays
Recent advancements in computer vision promise to automate medical image analysis.
Rheumatoid arthritis is an autoimmune disease that would profit from computer-based …
Rheumatoid arthritis is an autoimmune disease that would profit from computer-based …
Multi-level seg-unet model with global and patch-based X-ray images for knee bone tumor detection
Tumor classification and segmentation problems have attracted interest in recent years. In
contrast to the abundance of studies examining brain, lung, and liver cancers, there has …
contrast to the abundance of studies examining brain, lung, and liver cancers, there has …
Improved deep convolutional neural network to classify osteoarthritis from anterior cruciate ligament tear using magnetic resonance imaging
Anterior cruciate ligament (ACL) tear is caused by partially or completely torn ACL ligament
in the knee, especially in sportsmen. There is a need to classify the ACL tear before it fully …
in the knee, especially in sportsmen. There is a need to classify the ACL tear before it fully …
Classification of osteo-arthritis with the help of deep learning and transfer learning
Osteoarthritis is a degenerative disorder of the joints that negatively impacts the cartilage,
bones, and tissues around them. The afflicted joints may experience discomfort, stiffness …
bones, and tissues around them. The afflicted joints may experience discomfort, stiffness …
Knee osteoarthritis detection using deep feature based on convolutional neural network
Various diseases have recently wreaked influence on people's way of life. Several bone
illnesses significantly influence the quality of life, including Knee Osteoarthritis. When the …
illnesses significantly influence the quality of life, including Knee Osteoarthritis. When the …