Cargando…

Automated detection of knee cystic lesions on magnetic resonance imaging using deep learning

BACKGROUND: Cystic lesions are frequently observed in knee joint diseases and are usually associated with joint pain, degenerative disorders, or acute injury. Magnetic resonance imaging-based, artificial intelligence-assisted cyst detection is an effective method to improve the whole knee joint anal...

Descripción completa

Detalles Bibliográficos
Autores principales:	Xiongfeng, Tang, Yingzhi, Li, Xianyue, Shen, Meng, He, Bo, Chen, Deming, Guo, Yanguo, Qin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Medicine
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9397605/ https://www.ncbi.nlm.nih.gov/pubmed/36016997 http://dx.doi.org/10.3389/fmed.2022.928642

Ejemplares similares

Fully Automatic Knee Joint Segmentation and Quantitative Analysis for Osteoarthritis from Magnetic Resonance (MR) Images Using a Deep Learning Model
por: Tang, Xiongfeng, et al.
Publicado: (2022)

Development and clinical validation of deep learning for auto-diagnosis of supraspinatus tears
por: Guo, Deming, et al.
Publicado: (2023)

Optimal Timing of Anterior Cruciate Ligament Reconstruction in Patients With Anterior Cruciate Ligament Tear: A Systematic Review and Meta-analysis
por: Shen, Xianyue, et al.
Publicado: (2022)

One Novel Phantom-Less Quantitative Computed Tomography System for Auto-Diagnosis of Osteoporosis Utilizes Low-Dose Chest Computed Tomography Obtained for COVID-19 Screening
por: Xiongfeng, Tang, et al.
Publicado: (2022)

Automated T1 and T2 mapping segmentation on cardiovascular magnetic resonance imaging using deep learning
por: Kalapos, András, et al.
Publicado: (2023)

Deep learning-based automated lesion segmentation on mouse stroke magnetic resonance images
por: An, Jeehye, et al.
Publicado: (2023)

Magnetic resonance imaging based deep-learning model: a rapid, high-performance, automated tool for testicular volume measurements
por: Sun, Kailun, et al.
Publicado: (2023)

Automated Detection of Pancreatic Cystic Lesions on CT Using Deep Learning
por: Abel, Lorraine, et al.
Publicado: (2021)

Enhancing ZnO-NP Antibacterial and Osteogenesis Properties in Orthopedic Applications: A Review
por: Li, Yuehong, et al.
Publicado: (2020)

Enhanced antibacterial properties of orthopedic implants by titanium nanotube surface modification: a review of current techniques
por: Li, Yuehong, et al.
Publicado: (2019)

Fabrication and In Vitro Evaluation of 3D Printed Porous Polyetherimide Scaffolds for Bone Tissue Engineering
por: Tang, Xiongfeng, et al.
Publicado: (2019)

Quality control-driven deep ensemble for accountable automated segmentation of cardiac magnetic resonance LGE and VNE images
por: Gonzales, Ricardo A., et al.
Publicado: (2023)

Knee Cartilage Thickness Differs Alongside Ages: A 3-T Magnetic Resonance Research Upon 2,481 Subjects via Deep Learning
por: Si, Liping, et al.
Publicado: (2021)

Automated segmentation of 3D cine cardiovascular magnetic resonance imaging
por: Tayebi Arasteh, Soroosh, et al.
Publicado: (2023)

Deep learning-based magnetic resonance image segmentation technique for application to glioma
por: Wan, Bing, et al.
Publicado: (2023)

Cystic lesions of the humeral head on magnetic resonance imaging: a pictorial review
por: Mangi, Mohammad Danish, et al.
Publicado: (2022)

The Role of Magnetic Resonance Imaging (MRI) in the Diagnosis of Pancreatic Cystic Lesions (PCLs)
por: Quingalahua, Elit, et al.
Publicado: (2023)

Comparison of the Sterilization Efficiency of 3 Disinfectants for Dropped Anterior Cruciate Ligament Grafts: A Systematic Review and Meta-analysis
por: Shen, Xianyue, et al.
Publicado: (2021)

Difference analysis in prevalence of incidental pancreatic cystic lesions between computed tomography and magnetic resonance imaging
por: Zhu, Shuo, et al.
Publicado: (2019)

Comparison of Endoscopic Ultrasonography, Computed Tomography, and Magnetic Resonance Imaging for Pancreas Cystic Lesions
por: Lee, Yoon Suk, et al.
Publicado: (2015)

Unusual magnetic resonance imaging findings of cystic bone lesions in congenital generalized lipodystrophy
por: de Oliveira, TFT, et al.
Publicado: (2022)

Machine Learning Approaches to Differentiate Sellar-Suprasellar Cystic Lesions on Magnetic Resonance Imaging
por: Jiang, Chendan, et al.
Publicado: (2023)

A Systematic Quality Scoring Analysis to Assess Automated Cardiovascular Magnetic Resonance Segmentation Algorithms
por: Rauseo, Elisa, et al.
Publicado: (2022)

Avulsion of the femoral attachment of the medial collateral ligament in the setting of knee multiligament injury: A case report
por: Guo, Deming, et al.
Publicado: (2019)

The Magnetic Resonance Imaging Pattern of the Lesions Caused by Knee Overuse in the Pediatric Population
por: Djuricic, Goran, et al.
Publicado: (2022)

Magnetic resonance cholangiopancreatography: Comparison of two- and three-dimensional sequences for the assessment of pancreatic cystic lesions
por: LIU, KEFU, et al.
Publicado: (2015)

Searching for prostate cancer by fully automated magnetic resonance imaging classification: deep learning versus non-deep learning
por: Wang, Xinggang, et al.
Publicado: (2017)

Quantitative Visualization of Dynamic Tracer Transportation in the Extracellular Space of Deep Brain Regions Using Tracer-Based Magnetic Resonance Imaging
por: Hou, Jin, et al.
Publicado: (2017)

Hip Position Acutely Affects Oxygenation and Perfusion of Kidney Grafts as Measured by Functional Magnetic Resonance Imaging Methods—The Bent Knee Study
por: Mani, Laila-Yasmin, et al.
Publicado: (2021)

Magnetic resonance analysis of deep cerebral venous vasospasm after subarachnoid hemorrhage in rabbits
por: Zhang, Zixuan, et al.
Publicado: (2022)

Semi-quantitative magnetic resonance imaging scoring of the knee detects previous injuries in professional soccer players
por: Welsch, Goetz Hannes, et al.
Publicado: (2022)

Deep Learning in Prostate Cancer Diagnosis Using Multiparametric Magnetic Resonance Imaging With Whole-Mount Histopathology Referenced Delineations
por: Li, Danyan, et al.
Publicado: (2022)

Application of Quantitative Magnetic Resonance Imaging in the Diagnosis of Autism in Children
por: Tang, Shilong, et al.
Publicado: (2022)

Deep Learning Predicts Total Knee Replacement from Magnetic Resonance Images
por: Tolpadi, Aniket A., et al.
Publicado: (2020)

Cysts and cystic-appearing lesions of the knee: A pictorial essay
por: Telischak, Nicholas A, et al.
Publicado: (2014)

Both Magnetic Resonance Imaging and Computed Tomography Are Reliable and Valid in Evaluating Cystic Osteochondral Lesions of the Talus
por: Deng, En, et al.
Publicado: (2020)

Automated Classification of Brain Tumors from Magnetic Resonance Imaging Using Deep Learning
por: Rasheed, Zahid, et al.
Publicado: (2023)

Magnetic Resonance Imaging of the Knee
por: Hash, Thomas W.
Publicado: (2013)

Magnetic resonance imaging of the knee
por: Chien, Alexander, et al.
Publicado: (2020)

Distribution of Deep Gray Matter Lesions on Magnetic Resonance Imaging in Lymphomatosis Cerebri
por: Kobayashi, Zen, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_jsid7328nm1cc76q4cgc4fc78d