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 …
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 …
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 …
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 …
Semantic context forests for learning-based knee cartilage segmentation in 3D MR images
The automatic segmentation of human knee cartilage from 3D MR images is a useful yet
challenging task due to the thin sheet structure of the cartilage with diffuse boundaries and …
challenging task due to the thin sheet structure of the cartilage with diffuse boundaries and …
Accurate automated volumetry of cartilage of the knee using convolutional neural networks: data from the osteoarthritis initiative
Volumetry of the cartilage of the knee, as needed for the assessment of knee osteoarthritis
(KOA), is typically performed in a tedious and subjective process. We present an automated …
(KOA), is typically performed in a tedious and subjective process. We present an automated …
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 …
[HTML][HTML] Automatic femoral articular cartilage segmentation using deep learning in three-dimensional ultrasound images of the knee
Objective This study aimed to develop a deep learning-based approach to automatically
segment the femoral articular cartilage (FAC) in 3D ultrasound (US) images of the knee to …
segment the femoral articular cartilage (FAC) in 3D ultrasound (US) images of the knee to …
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 …
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