Segmentation of tibiofemoral joint tissues from knee MRI using MtRA-Unet and incorporating shape information: Data from the Osteoarthritis Initiative
Knee Osteoarthritis (KOA) is the third most prevalent Musculoskeletal Disorder (MSD) after
neck and back pain. To monitor such a severe MSD, a segmentation map of the femur, tibia …
neck and back pain. To monitor such a severe MSD, a segmentation map of the femur, tibia …
Automated tibiofemoral joint segmentation based on deeply supervised 2D-3D ensemble U-Net: Data from the Osteoarthritis Initiative
MH Abd Latif, I Faye - Artificial intelligence in medicine, 2021 - Elsevier
Improving longevity is one of the greatest achievements in humanity. Because of this, the
population is growing older, and the ubiquity of knee osteoarthritis (OA) is on the rise …
population is growing older, and the ubiquity of knee osteoarthritis (OA) is on the rise …
[HTML][HTML] Fully automatic knee joint segmentation and quantitative analysis for osteoarthritis from magnetic resonance (MR) images using a deep learning model
X Tang, D Guo, A Liu, D Wu, J Liu, N Xu… - Medical Science Monitor …, 2022 - ncbi.nlm.nih.gov
Fully Automatic Knee Joint Segmentation and Quantitative Analysis for Osteoarthritis from
Magnetic Resonance (MR) Images Using a Deep Learning Model - PMC Back to Top Skip to …
Magnetic Resonance (MR) Images Using a Deep Learning Model - PMC Back to Top Skip to …
A comprehensive review on MRI-based knee joint segmentation and analysis techniques
P Mahendrakar, D Kumar, U Patil - Current Medical Imaging, 2024 - benthamdirect.com
Using magnetic resonance imaging (MRI) in osteoarthritis pathogenesis research has
proven extremely beneficial. However, it is always challenging for both clinicians and …
proven extremely beneficial. However, it is always challenging for both clinicians and …
A coarse-to-fine framework for automated knee bone and cartilage segmentation data from the osteoarthritis initiative
Knee osteoarthritis (OA) is a degenerative joint disease that is prevalent in advancing age.
The pathology of OA disease is still unclear, and there are no effective interventions that can …
The pathology of OA disease is still unclear, and there are no effective interventions that can …
Automated segmentation of knee articular cartilage: Joint deep and hand-crafted learning-based framework using diffeomorphic mapping
Segmentation of knee articular cartilage tissue (ACT) from 3D magnetic resonance images
(MRIs) is a fundamental task in assessing knee osteoarthritis (KOA). However, automated …
(MRIs) is a fundamental task in assessing knee osteoarthritis (KOA). However, automated …
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 …
The international workshop on osteoarthritis imaging knee MRI segmentation challenge: a multi-institute evaluation and analysis framework on a standardized dataset
Purpose To organize a multi-institute knee MRI segmentation challenge for characterizing
the semantic and clinical efficacy of automatic segmentation methods relevant for monitoring …
the semantic and clinical efficacy of automatic segmentation methods relevant for monitoring …
Computer-aided knee joint magnetic resonance image segmentation-a survey
Osteoarthritis (OA) is one of the major health issues among the elderly population. MRI is the
most popular technology to observe and evaluate the progress of OA course. However, the …
most popular technology to observe and evaluate the progress of OA course. However, the …
Early detection of knee Osteoarthritis using deep learning on knee MRI
A Alexopoulos, J Hirvasniemi, S Klein… - Osteoarthritis …, 2023 - Elsevier
INTRODUCTION Majority of the previous studies using deep learning approaches to predict
knee OA incidence have used a radiography-based outcome variable. However, an MRI …
knee OA incidence have used a radiography-based outcome variable. However, an MRI …