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 …
Detection of differences in longitudinal cartilage thickness loss using a deep‐learning automated segmentation algorithm: Data from the Foundation for the National …
F Eckstein, AS Chaudhari, D Fuerst… - Arthritis Care & …, 2022 - Wiley Online Library
Objective To study the longitudinal performance of fully automated cartilage segmentation in
knees with radiographic osteoarthritis (OA), we evaluated the sensitivity to change in …
knees with radiographic osteoarthritis (OA), we evaluated the sensitivity to change in …
[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 …
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 …
Magnetic resonance imaging assessments for knee segmentation and their use in combination with machine/deep learning as predictors of early osteoarthritis …
J Martel-Pelletier, P Paiement… - Therapeutic Advances …, 2023 - journals.sagepub.com
Knee osteoarthritis (OA) is a prevalent and disabling disease that can develop over
decades. This disease is heterogeneous and involves structural changes in the whole joint …
decades. This disease is heterogeneous and involves structural changes in the whole joint …
Generalizability of deep learning segmentation algorithms for automated assessment of cartilage morphology and MRI relaxometry
AM Schmidt, AD Desai, LE Watkins… - Journal of Magnetic …, 2023 - Wiley Online Library
Background Deep learning (DL)‐based automatic segmentation models can expedite
manual segmentation yet require resource‐intensive fine‐tuning before deployment on new …
manual segmentation yet require resource‐intensive fine‐tuning before deployment on new …
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 …
Automatic knee cartilage and bone segmentation using multi-stage convolutional neural networks: data from the osteoarthritis initiative
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 …
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
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 …
Automatic segmentation of high-and low-field knee MRIs using knee image quantification with data from the osteoarthritis initiative
Clinical studies including thousands of magnetic resonance imaging (MRI) scans offer
potential for pathogenesis research in osteoarthritis. However, comprehensive quantification …
potential for pathogenesis research in osteoarthritis. However, comprehensive quantification …
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