Cargando…

Deep Learning-Based Magnetic Resonance Imaging in Diagnosis and Treatment of Intracranial Aneurysm

This study was focused on the positioning of the intracranial aneurysm in the magnetic resonance imaging (MRI) images using the deep learning-based U-Net model, to realize the computer-aided diagnosis of the intracranial aneurysm. First, a network was established based on the three-dimensional (3D)...

Descripción completa

Detalles Bibliográficos
Autores principales:	Lei, Xiubing, Yang, Yang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9208965/ https://www.ncbi.nlm.nih.gov/pubmed/35734777 http://dx.doi.org/10.1155/2022/1683475

Ejemplares similares

Deep Learning-Based Magnetic Resonance Imaging Features in Diagnosis of Perianal Abscess and Fistula Formation
por: Yang, Jun, et al.
Publicado: (2021)

Auxiliary Diagnosis of Lung Cancer with Magnetic Resonance Imaging Data under Deep Learning
por: Xia, Lei
Publicado: (2022)

Meta-analysis of computed tomography angiography versus magnetic resonance angiography for intracranial aneurysm
por: Chen, Xiaodan, et al.
Publicado: (2018)

High-Resolution Magnetic Resonance Imaging (HR-MRI) Evaluation of the Distribution and Characteristics of Intra-Aneurysm Thrombosis to Improve Clinical Diagnosis of Thrombotic Intracranial Aneurysm
por: Gu, Yan, et al.
Publicado: (2022)

High-Resolution Magnetic Resonance Imaging of Intracranial Vertebral Artery Dissecting Aneurysm for Planning of Endovascular Treatment
por: Chun, Dong Hyun, et al.
Publicado: (2015)

Deep Learning-Based Magnetic Resonance Imaging Image Features for Diagnosis of Anterior Cruciate Ligament Injury
por: Li, Zijian, et al.
Publicado: (2021)

High-resolution vessel wall magnetic resonance imaging for depicting imaging features of unruptured intracranial vertebrobasilar dissecting aneurysms
por: Sui, Binbin, et al.
Publicado: (2021)

High-Resolution Vessel Wall Magnetic Resonance Imaging of Small Unruptured Intracranial Aneurysms
por: Zwarzany, Łukasz, et al.
Publicado: (2021)

Magnetic Resonance Imaging Features on Deep Learning Algorithm for the Diagnosis of Nasopharyngeal Carcinoma
por: Huang, Ruijie, et al.
Publicado: (2022)

Deep learning-based magnetic resonance imaging of the spine in the diagnosis and physiological evaluation of spinal metastases
por: Wang, Dapeng, et al.
Publicado: (2023)

Role of magnetic resonance vessel wall imaging in detecting and managing ruptured aneurysms among multiple intracranial aneurysms
por: Yoshikawa, Kohei, et al.
Publicado: (2021)

Deep learning-based recognition and segmentation of intracranial aneurysms under small sample size
por: Zhu, Guangyu, et al.
Publicado: (2022)

A Deep Learning Model with High Standalone Performance for Diagnosis of Unruptured Intracranial Aneurysm
por: Joo, Bio, et al.
Publicado: (2021)

Impact of deep learning reconstruction on intracranial 1.5 T magnetic resonance angiography
por: Yasaka, Koichiro, et al.
Publicado: (2021)

Quantification of aneurysm wall enhancement in intracranial fusiform aneurysms and related predictors based on high-resolution magnetic resonance imaging: a validation study
por: Peng, Fei, et al.
Publicado: (2022)

Relationship between Deep White Matter Hyperintensities on Magnetic Resonance Imaging and Postoperative Cognitive Function Following Clipping of Unruptured Intracranial Aneurysm
por: KUMON, Yoshiaki, et al.
Publicado: (2021)

Malignant Bone Tumors Diagnosis Using Magnetic Resonance Imaging Based on Deep Learning Algorithms
por: Georgeanu, Vlad Alexandru, et al.
Publicado: (2022)

Deep Learning for Accurate Diagnosis of Liver Tumor Based on Magnetic Resonance Imaging and Clinical Data
por: Zhen, Shi-hui, et al.
Publicado: (2020)

Deep learning-assisted diagnosis of femoral trochlear dysplasia based on magnetic resonance imaging measurements
por: Xu, Sheng-Ming, et al.
Publicado: (2023)

A Comprehensive Review on the Diagnosis of Knee Injury by Deep Learning-Based Magnetic Resonance Imaging
por: Shetty, Neha D, et al.
Publicado: (2023)

Deep learning-based diagnosis of Alzheimer’s disease using brain magnetic resonance images: an empirical study
por: Kim, Jun Sung, et al.
Publicado: (2022)

Research progress on deep learning in magnetic resonance imaging–based diagnosis and treatment of prostate cancer: a review on the current status and perspectives
por: He, Mingze, et al.
Publicado: (2023)

Deep learning-based quantification of abdominal fat on magnetic resonance images
por: Grainger, Andrew T., et al.
Publicado: (2018)

A deep-learning method for the end-to-end prediction of intracranial aneurysm rupture risk
por: Li, Peiying, et al.
Publicado: (2023)

Features of “false positive” unruptured intracranial aneurysms on screening magnetic resonance angiography
por: Jang, Minsu, et al.
Publicado: (2020)

The Application of Multiple Magnetic Resonance Scanning Techniques in Evaluating the Stability of Intracranial Aneurysms
por: Ma, Pengcheng, et al.
Publicado: (2023)

Image Features of Magnetic Resonance Imaging under the Deep Learning Algorithm in the Diagnosis and Nursing of Malignant Tumors
por: Sun, Lifang, et al.
Publicado: (2021)

Identification and diagnosis of meniscus tear by magnetic resonance imaging using a deep learning model
por: Li, Jie, et al.
Publicado: (2022)

Magnetic Resonance Image Feature Analysis under Deep Learning in Diagnosis of Neurological Rehabilitation in Patients with Cerebrovascular Diseases
por: Li, Xue, et al.
Publicado: (2021)

Deep Learning-Based Diffusion-Weighted Magnetic Resonance Imaging in the Diagnosis of Ischemic Penumbra in Early Cerebral Infarction
por: Sheng, Hui, et al.
Publicado: (2022)

Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet
por: Bien, Nicholas, et al.
Publicado: (2018)

A deep-learning system to help make the surgical planning of coil embolization for unruptured intracranial aneurysms
por: Nie, Xin, et al.
Publicado: (2023)

Deep Learning-Based Methods for Prostate Segmentation in Magnetic Resonance Imaging
por: Comelli, Albert, et al.
Publicado: (2021)

The Effect of Deep Learning-Based QSM Magnetic Resonance Imaging on the Subthalamic Nucleus
por: Liu, Yuanqin, et al.
Publicado: (2021)

Case Report: The Different Fates of Three Aneurysms: Diagnosis and Treatment Strategies for Unruptured Intracranial Aneurysms With Other Intracranial Diseases
por: Guo, Gaochao, et al.
Publicado: (2022)

Lumbar Disc Herniation Automatic Detection in Magnetic Resonance Imaging Based on Deep Learning
por: Tsai, Jen-Yung, et al.
Publicado: (2021)

Motion artifact reduction for magnetic resonance imaging with deep learning and k-space analysis
por: Cui, Long, et al.
Publicado: (2023)

Automated Detection and Diagnosis of Spinal Schwannomas and Meningiomas Using Deep Learning and Magnetic Resonance Imaging
por: Ito, Sadayuki, et al.
Publicado: (2023)

Magnetic Resonance Imaging Images under Deep Learning in the Identification of Tuberculosis and Pneumonia
por: Liu, Yabin, et al.
Publicado: (2021)

Automatic differentiation of ruptured and unruptured intracranial aneurysms on computed tomography angiography based on deep learning and radiomics
por: Feng, Junbang, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_3q65jcrim8j9v51ajs8glvubch