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 …
[HTML][HTML] Segmentation of knee MRI data with convolutional neural networks for semi-automated three-dimensional surface-based analysis of cartilage morphology …
DA Kessler, JW MacKay, SM McDonnell… - Osteoarthritis …, 2022 - Elsevier
Objective To assess automatic segmentations for surface-based analysis of cartilage
morphology and composition on knee magnetic resonance (MR) images. Methods 2D and …
morphology and composition on knee magnetic resonance (MR) images. Methods 2D and …
Deep learning‐based segmentation of knee MRI for fully automatic subregional morphological assessment of cartilage tissues: Data from the Osteoarthritis Initiative
Morphological changes in knee cartilage subregions are valuable imaging‐based
biomarkers for understanding progression of osteoarthritis, and they are typically detected …
biomarkers for understanding progression of osteoarthritis, and they are typically detected …
A review on segmentation of knee articular cartilage: from conventional methods towards deep learning
S Ebrahimkhani, MH Jaward, FM Cicuttini… - Artificial intelligence in …, 2020 - Elsevier
In this paper, we review the state-of-the-art approaches for knee articular cartilage
segmentation from conventional techniques to deep learning (DL) based techniques. Knee …
segmentation from conventional techniques to deep learning (DL) based techniques. Knee …
Prior-based 3D U-Net: A model for knee-cartilage segmentation in MRI images
H Liu, Y Sun, X Cheng, D Jiang - Computers & Graphics, 2023 - Elsevier
In knee-joint magnetic resonance imaging (MRI), articular cartilage is susceptible to artifacts
and noise, making it difficult for a single image segmentation algorithm to achieve accurate …
and noise, making it difficult for a single image segmentation algorithm to achieve accurate …
Automatic knee cartilage segmentation using fully volumetric convolutional neural networks for evaluation of osteoarthritis
Automated Cartilage segmentation is essential for improving the performance of advanced
Knee Osteoarthritis (OA) assessment due to its convoluted 3D structure. In this paper, we …
Knee Osteoarthritis (OA) assessment due to its convoluted 3D structure. In this paper, we …
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 …
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 …
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 …
BCD-NET: a novel method for cartilage segmentation of knee MRI via deep segmentation networks with bone-cartilage-complex modeling
Segmentation of cartilage in knee MRI is an important process for various clinical tasks in
diagnosis and treatment planning of osteoarthritis. Recently, the deep segmentation …
diagnosis and treatment planning of osteoarthritis. Recently, the deep segmentation …