Cargando…

Fully Automatic Knee Bone Detection and Segmentation on Three-Dimensional MRI

In the medical sector, three-dimensional (3D) images are commonly used like computed tomography (CT) and magnetic resonance imaging (MRI). The 3D MRI is a non-invasive method of studying the soft-tissue structures in a knee joint for osteoarthritis studies. It can greatly improve the accuracy of seg...

Descripción completa

Detalles Bibliográficos
Autores principales:	Almajalid, Rania, Zhang, Ming, Shan, Juan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774512/ https://www.ncbi.nlm.nih.gov/pubmed/35054290 http://dx.doi.org/10.3390/diagnostics12010123

Ejemplares similares

Fully Automatic Segmentation and Three-Dimensional Reconstruction of the Liver in CT Images
por: Wang, ZhenZhou, et al.
Publicado: (2018)

Relationship between medial meniscus extrusion and cartilage measurements in the knee by fully automatic three-dimensional MRI analysis
por: Aoki, Hayato, et al.
Publicado: (2020)

Fully automatic segmentation of heart chambers in cardiac MRI using deep learning
por: Avendi, MR, et al.
Publicado: (2016)

Automatic Bone Segmentation from MRI for Real-Time Knee Tracking in Fluoroscopic Imaging
por: Robert, Brenden, et al.
Publicado: (2022)

Automatic femoral articular cartilage segmentation using deep learning in three-dimensional ultrasound images of the knee
por: du Toit, Carla, et al.
Publicado: (2022)

Automatic segmentation with detection of local segmentation failures in cardiac MRI
por: Sander, Jörg, et al.
Publicado: (2020)

Automatic segmentation of puborectalis muscle on three‐dimensional transperineal ultrasound
por: van den Noort, F., et al.
Publicado: (2018)

Fully convolutional network-based multi-output model for automatic segmentation of organs at risk in thorax
por: Zhang, Jie, et al.
Publicado: (2021)

Cross‐Cohort Automatic Knee MRI Segmentation With Multi‐Planar U‐Nets
por: Perslev, Mathias, et al.
Publicado: (2021)

Fully Automatic Whole-Volume Tumor Segmentation in Cervical Cancer
por: Hodneland, Erlend, et al.
Publicado: (2022)

Fully automatic wound segmentation with deep convolutional neural networks
por: Wang, Chuanbo, et al.
Publicado: (2020)

Fully automatic image colorization based on semantic segmentation technology
por: Xu, Min, et al.
Publicado: (2021)

A fully automatic method for segmentation of soccer playing fields
por: Cuevas, Carlos, et al.
Publicado: (2023)

Fully automatic tumor segmentation of breast ultrasound images with deep learning
por: Zhang, Shuai, et al.
Publicado: (2022)

Fully Automatic Lung Segmentation and Rib Suppression Methods to Improve Nodule Detection in Chest Radiographs
por: Soleymanpour, Elaheh, et al.
Publicado: (2011)

Deep Learning for Fully Automatic Tumor Segmentation on Serially Acquired Dynamic Contrast-Enhanced MRI Images of Triple-Negative Breast Cancer
por: Xu, Zhan, et al.
Publicado: (2023)

Fully automatic three-dimensional visualization of intravascular optical coherence tomography images: methods and feasibility in vivo
por: Ughi, Giovanni J, et al.
Publicado: (2012)

A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT images
por: Cui, Zhiming, et al.
Publicado: (2022)

Fully automatic liver segmentation combining multi-dimensional graph cut with shape information in 3D CT images
por: Lu, Xuesong, et al.
Publicado: (2018)

TC-SegNet: robust deep learning network for fully automatic two-chamber segmentation of two-dimensional echocardiography
por: Lal, Shyam
Publicado: (2023)

Automatic Left Ventricle Segmentation from Short-Axis Cardiac MRI Images Based on Fully Convolutional Neural Network
por: Shaaf, Zakarya Farea, et al.
Publicado: (2022)

A Combined Random Forests and Active Contour Model Approach for Fully Automatic Segmentation of the Left Atrium in Volumetric MRI
por: Ma, Chao, et al.
Publicado: (2017)

Fully automatic segmentation of short and long axis cine cardiac MR
por: Fradkin, Maxim, et al.
Publicado: (2009)

Fully automated detection and segmentation of meningiomas using deep learning on routine multiparametric MRI
por: Laukamp, Kai Roman, et al.
Publicado: (2018)

Deep Learning for Multi-Tissue Segmentation and Fully Automatic Personalized Biomechanical Models from BACPAC Clinical Lumbar Spine MRI
por: Hess, Madeline, et al.
Publicado: (2022)

A fully-automatic caudate nucleus segmentation of brain MRI: Application in volumetric analysis of pediatric attention-deficit/hyperactivity disorder
por: Igual, Laura, et al.
Publicado: (2011)

Deep‐learning based fully automatic segmentation of the globus pallidus interna and externa using ultra‐high 7 Tesla MRI
por: Solomon, Oren, et al.
Publicado: (2021)

Deep learning for fully automatic detection, segmentation, and Gleason grade estimation of prostate cancer in multiparametric magnetic resonance images
por: Pellicer-Valero, Oscar J., et al.
Publicado: (2022)

MyI-Net: Fully Automatic Detection and Quantification of Myocardial Infarction from Cardiovascular MRI Images
por: Wang, Shuihua, et al.
Publicado: (2023)

Contrast-Based Fully Automatic Segmentation of White Matter Hyperintensities: Method and Validation
por: Samaille, Thomas, et al.
Publicado: (2012)

An Improved Fuzzy Connectedness Method for Automatic Three-Dimensional Liver Vessel Segmentation in CT Images
por: Zhang, Rui, et al.
Publicado: (2018)

Automatic Detection of Cone Photoreceptors With Fully Convolutional Networks
por: Hamwood, Jared, et al.
Publicado: (2019)

Deep learning for the fully automated segmentation of the inner ear on MRI
por: Vaidyanathan, Akshayaa, et al.
Publicado: (2021)

Comparing of two dimensional and three dimensional fully convolutional networks for radiotherapy dose prediction in left-sided breast cancer
por: Bai, Xue, et al.
Publicado: (2021)

Fully automated pelvic bone segmentation in multiparameteric MRI using a 3D convolutional neural network
por: Liu, Xiang, et al.
Publicado: (2021)

Developing and testing an algorithm for automatic segmentation of the fetal face from three-dimensional ultrasound images
por: Clark, A. E., et al.
Publicado: (2020)

Long-term performance assessment of fully automatic biomedical glottis segmentation at the point of care
por: Groh, René, et al.
Publicado: (2022)

Fully automatic GBM segmentation in the TCGA-GBM dataset: Prognosis and correlation with VASARI features
por: Rios Velazquez, Emmanuel, et al.
Publicado: (2015)

Clinical Evaluation of a Fully-automatic Segmentation Method for Longitudinal Brain Tumor Volumetry
por: Meier, Raphael, et al.
Publicado: (2016)

Fully automatic acute ischemic lesion segmentation in DWI using convolutional neural networks
por: Chen, Liang, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_82d713jcqhjs98p6pria5gab0v