A coarse-to-fine framework for automated knee bone and cartilage segmentation data from the osteoarthritis initiative

Y Deng, L You, Y Wang, X Zhou - Journal of Digital Imaging, 2021 - Springer
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 …

Automatic knee cartilage and bone segmentation using multi-stage convolutional neural networks: data from the osteoarthritis initiative

AA Gatti, MR Maly - Magnetic Resonance Materials in Physics, Biology …, 2021 - Springer
Objectives Accurate and efficient knee cartilage and bone segmentation are necessary for
basic science, clinical trial, and clinical applications. This work tested a multi-stage …

From classical to deep learning: review on cartilage and bone segmentation techniques in knee osteoarthritis research

HS Gan, MH Ramlee, AA Wahab, YS Lee… - Artificial Intelligence …, 2021 - Springer
Knee osteoarthritis is a major diarthrodial joint disorder with profound global socioeconomic
impact. Diagnostic imaging using magnetic resonance image can produce morphometric …

[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 …

Ensemble learning for robust knee cartilage segmentation: data from the osteoarthritis initiative

EJ Peake, R Chevasson, S Pszczolkowski, DP Auer… - BioRxiv, 2020 - biorxiv.org
Purpose To evaluate the performance of an ensemble learning approach for fully automated
cartilage segmentation on knee magnetic resonance images of patients with osteoarthritis …

Deep learning‐based segmentation of knee MRI for fully automatic subregional morphological assessment of cartilage tissues: Data from the Osteoarthritis Initiative

E Panfilov, A Tiulpin, MT Nieminen… - Journal of …, 2022 - Wiley Online Library
Morphological changes in knee cartilage subregions are valuable imaging‐based
biomarkers for understanding progression of osteoarthritis, and they are typically detected …

The international workshop on osteoarthritis imaging knee MRI segmentation challenge: a multi-institute evaluation and analysis framework on a standardized dataset

AD Desai, F Caliva, C Iriondo, A Mortazi… - Radiology: Artificial …, 2021 - pubs.rsna.org
Purpose To organize a multi-institute knee MRI segmentation challenge for characterizing
the semantic and clinical efficacy of automatic segmentation methods relevant for monitoring …

Segmentation of tibiofemoral joint tissues from knee MRI using MtRA-Unet and incorporating shape information: Data from the Osteoarthritis Initiative

A Daydar, A Pramanick, A Sur, S Kanagaraj - arXiv preprint arXiv …, 2024 - arxiv.org
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 …

Automated segmentation of knee articular cartilage: Joint deep and hand-crafted learning-based framework using diffeomorphic mapping

S Ebrahimkhani, A Dharmaratne, MH Jaward, Y Wang… - Neurocomputing, 2022 - Elsevier
Segmentation of knee articular cartilage tissue (ACT) from 3D magnetic resonance images
(MRIs) is a fundamental task in assessing knee osteoarthritis (KOA). However, automated …

A comprehensive survey on bone segmentation techniques in knee osteoarthritis research: From conventional methods to deep learning

SM Ahmed, RJ Mstafa - Diagnostics, 2022 - mdpi.com
Knee osteoarthritis (KOA) is a degenerative joint disease, which significantly affects middle-
aged and elderly people. The majority of KOA is primarily based on hyaline cartilage …