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 …
Intra-articular mesenchymal stem cell injection for knee osteoarthritis: mechanisms and clinical evidence
P Wei, R Bao - International Journal of Molecular Sciences, 2022 - mdpi.com
Knee osteoarthritis presents higher incidences than other joints, with increased prevalence
during aging. It is a progressive process and may eventually lead to disability. Mesenchymal …
during aging. It is a progressive process and may eventually lead to disability. Mesenchymal …
[HTML][HTML] Bridging bench to body: ex vivo models to understand articular cartilage repair
Highlights•Novel articular cartilage tissue engineering therapies have been
developed.•Integration of engineered tissue with native cartilage is an ongoing …
developed.•Integration of engineered tissue with native cartilage is an ongoing …
Automated measurement and grading of knee cartilage thickness: a deep learning-based approach
JR Guo, P Yan, Y Qin, MN Liu, Y Ma, JQ Li… - Frontiers in …, 2024 - frontiersin.org
Background Knee cartilage is the most crucial structure in the knee, and the reduction of
cartilage thickness is a significant factor in the occurrence and development of osteoarthritis …
cartilage thickness is a significant factor in the occurrence and development of osteoarthritis …
Knee instability caused by altered graft mechanical properties after anterior cruciate ligament reconstruction: the early onset of osteoarthritis?
J Spierings, M Van den Hengel… - … in Bioengineering and …, 2023 - frontiersin.org
Anterior cruciate ligament (ACL) rupture is a very common knee joint injury. Torn ACLs are
currently reconstructed using tendon autografts. However, half of the patients develop …
currently reconstructed using tendon autografts. However, half of the patients develop …
CartiMorph: A framework for automated knee articular cartilage morphometrics
We introduce CartiMorph, a framework for automated knee articular cartilage
morphometrics. It takes an image as input and generates quantitative metrics for cartilage …
morphometrics. It takes an image as input and generates quantitative metrics for cartilage …
Local graph fusion of multi-view MR images for knee osteoarthritis diagnosis
Magnetic resonance imaging (MRI) has become necessary in clinical diagnosis for knee
osteoarthritis (OA), while deep neural networks can contribute to the computer-assisted …
osteoarthritis (OA), while deep neural networks can contribute to the computer-assisted …
Knee cartilage defect assessment by graph representation and surface convolution
Knee osteoarthritis (OA) is the most common osteoarthritis and a leading cause of disability.
Cartilage defects are regarded as major manifestations of knee OA, which are visible by …
Cartilage defects are regarded as major manifestations of knee OA, which are visible by …
Ensemble learning and test-time augmentation for the segmentation of mineralized cartilage versus bone in high-resolution microCT images
J Léger, L Leyssens, G Kerckhofs… - Computers in Biology …, 2022 - Elsevier
High-resolution non-destructive 3D microCT imaging allows the visualization and structural
characterization of mineralized cartilage and bone. Deriving statistically relevant quantitative …
characterization of mineralized cartilage and bone. Deriving statistically relevant quantitative …
Getting cartilage thickness measurements right: a systematic inter-method comparison using MRI data from the Osteoarthritis Initiative
Objective Magnetic resonance imaging is the standard imaging modality to assess articular
cartilage. As the imaging surrogate of degenerative joint disease, cartilage thickness is …
cartilage. As the imaging surrogate of degenerative joint disease, cartilage thickness is …