Emergence of deep learning in knee osteoarthritis diagnosis
Osteoarthritis (OA), especially knee OA, is the most common form of arthritis, causing
significant disability in patients worldwide. Manual diagnosis, segmentation, and …
significant disability in patients worldwide. Manual diagnosis, segmentation, and …
A comparative systematic literature review on knee bone reports from mri, x-rays and ct scans using deep learning and machine learning methodologies
H Khalid, M Hussain, MA Al Ghamdi, T Khalid, K Khalid… - Diagnostics, 2020 - mdpi.com
The purpose of this research was to provide a “systematic literature review” of knee bone
reports that are obtained by MRI, CT scans, and X-rays by using deep learning and machine …
reports that are obtained by MRI, CT scans, and X-rays by using deep learning and machine …
Automated cartilage and meniscus segmentation of knee MRI with conditional generative adversarial networks
Purpose Fully automatic tissue segmentation is an essential step to translate quantitative
MRI techniques to clinical setting. The goal of this study was to develop a novel approach …
MRI techniques to clinical setting. The goal of this study was to develop a novel approach …
Automated knee MR images segmentation of anterior cruciate ligament tears
The anterior cruciate ligament (ACL) is one of the main stabilizer parts of the knee. ACL
injury leads to causes of osteoarthritis risk. ACL rupture is common in the young athletic …
injury leads to causes of osteoarthritis risk. ACL rupture is common in the young athletic …
Recognition of knee osteoarthritis (KOA) using YOLOv2 and classification based on convolutional neural network
U Yunus, J Amin, M Sharif, M Yasmin, S Kadry… - Life, 2022 - mdpi.com
Knee osteoarthritis (KOA) is one of the deadliest forms of arthritis. If not treated at an early
stage, it may lead to knee replacement. That is why early diagnosis of KOA is necessary for …
stage, it may lead to knee replacement. That is why early diagnosis of KOA is necessary for …
From classical to deep learning: review on cartilage and bone segmentation techniques in knee osteoarthritis research
Knee osteoarthritis is a major diarthrodial joint disorder with profound global socioeconomic
impact. Diagnostic imaging using magnetic resonance image can produce morphometric …
impact. Diagnostic imaging using magnetic resonance image can produce morphometric …
Hybrid techniques of x-ray analysis to predict knee osteoarthritis grades based on fusion features of cnn and handcrafted
A Khalid, EM Senan, K Al-Wagih, MM Ali Al-Azzam… - Diagnostics, 2023 - mdpi.com
Knee osteoarthritis (KOA) is a chronic disease that impedes movement, especially in the
elderly, affecting more than 5% of people worldwide. KOA goes through many stages, from …
elderly, affecting more than 5% of people worldwide. KOA goes through many stages, from …
Knee osteoarthritis classification using 3D CNN and MRI
Osteoarthritis (OA) is the most common form of arthritis and can often occur in the knee.
While convolutional neural networks (CNNs) have been widely used to study medical …
While convolutional neural networks (CNNs) have been widely used to study medical …
DADP: dynamic abnormality detection and progression for longitudinal knee magnetic resonance images from the osteoarthritis initiative
Osteoarthritis (OA) is the most common disabling joint disease. Magnetic resonance (MR)
imaging has been commonly used to assess knee joint degeneration due to its distinct …
imaging has been commonly used to assess knee joint degeneration due to its distinct …
Accuracy and longitudinal reproducibility of quantitative femorotibial cartilage measures derived from automated U-Net-based segmentation of two different MRI …
Objective To evaluate the agreement, accuracy, and longitudinal reproducibility of
quantitative cartilage morphometry from 2D U-Net-based automated segmentations for 3T …
quantitative cartilage morphometry from 2D U-Net-based automated segmentations for 3T …