Cargando…

CAU-Net: A Deep Learning Method for Deep Gray Matter Nuclei Segmentation

The abnormal iron deposition of the deep gray matter nuclei is related to many neurological diseases. With the quantitative susceptibility mapping (QSM) technique, it is possible to quantitatively measure the brain iron content in vivo. To assess the magnetic susceptibility of the deep gray matter n...

Descripción completa

Detalles Bibliográficos
Autores principales:	Chai, Chao, Wu, Mengran, Wang, Huiying, Cheng, Yue, Zhang, Shengtong, Zhang, Kun, Shen, Wen, Liu, Zhiyang, Xia, Shuang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9204516/ https://www.ncbi.nlm.nih.gov/pubmed/35720705 http://dx.doi.org/10.3389/fnins.2022.918623

Ejemplares similares

Automated Steerable Path Planning for Deep Brain Stimulation Safeguarding Fiber Tracts and Deep Gray Matter Nuclei
por: Segato, Alice, et al.
Publicado: (2019)

Paramagnetic Metal Accumulation in the Deep Gray Matter Nuclei Is Associated With Neurodegeneration in Wilson’s Disease
por: Yuan, Xiang-Zhen, et al.
Publicado: (2020)

Spinal cord gray matter segmentation using deep dilated convolutions
por: Perone, Christian S., et al.
Publicado: (2018)

Increased Magnetic Susceptibility in the Deep Gray Matter Nuclei of Wilson's Disease: Have We Been Ignoring Atrophy?
por: Jing, Xiao-Zhong, et al.
Publicado: (2022)

Longitudinal changes of deep gray matter shape in multiple sclerosis
por: Tsagkas, Charidimos, et al.
Publicado: (2022)

Linking white matter and deep gray matter alterations in premanifest Huntington disease
por: Faria, Andreia V., et al.
Publicado: (2016)

Automated segmentation of cerebral deep gray matter from MRI scans: effect of field strength on sensitivity and reliability
por: Chu, Renxin, et al.
Publicado: (2017)

Lesions in deep gray nuclei after severe traumatic brain injury predict neurologic outcome
por: Clarençon, Frédéric, et al.
Publicado: (2017)

Deep gray matters iron deposition is positively associated with white matter hyperintensity in hypertension
por: Su, Yu, et al.
Publicado: (2023)

Whole brain and deep gray matter structure segmentation: Quantitative comparison between MPRAGE and MP2RAGE sequences
por: Droby, Amgad, et al.
Publicado: (2021)

Anatomical and diffusion MRI of deep gray matter in pediatric spina bifida
por: Ware, Ashley L., et al.
Publicado: (2014)

Deep Gray Matter Iron Content in Neuromyelitis Optica and Multiple Sclerosis
por: Pudlac, Adam, et al.
Publicado: (2020)

Gray Matter Volume of Thalamic Nuclei in Traumatized North Korean Refugees
por: Lee, Jiye, et al.
Publicado: (2022)

Microscopy cell nuclei segmentation with enhanced U-Net
por: Long, Feixiao
Publicado: (2020)

Cerebellar gray matter alterations predict deep brain stimulation outcomes in Meige syndrome
por: Liu, Bin, et al.
Publicado: (2023)

Deep Gray Matter Demyelination Detected by Magnetization Transfer Ratio in the Cuprizone Model
por: Fjær, Sveinung, et al.
Publicado: (2013)

Deep gray matter volume loss drives disability worsening in multiple sclerosis
por: Eshaghi, Arman, et al.
Publicado: (2018)

Primary Biliary Cholangitis Alters Functional Connections of the Brain’s Deep Gray Matter
por: Mosher, Victoria A L, et al.
Publicado: (2017)

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

Deep learning-driven MRI trigeminal nerve segmentation with SEVB-net
por: Zhang, Chuan, et al.
Publicado: (2023)

Iron Deposition in Gray Matter Nuclei of Patients With Intracranial Artery Stenosis: A Quantitative Susceptibility Mapping Study
por: Mao, Huimin, et al.
Publicado: (2022)

White Matter and Gray Matter Segmentation in 4D Computed Tomography
por: Manniesing, Rashindra, et al.
Publicado: (2017)

γ-Resistant Microporous CAU-1 MOF for Selective Remediation of Thorium
por: Gumber, Nitin, et al.
Publicado: (2023)

Correction: Deep Gray Matter Demyelination Detected by Magnetization Transfer Ratio in the Cuprizone Model
Publicado: (2014)

A New Approach for Deep Gray Matter Analysis Using Partial-Volume Estimation
por: Bonnier, Guillaume, et al.
Publicado: (2016)

Normal volumes and microstructural integrity of deep gray matter structures in AQP4+ NMOSD
por: Finke, Carsten, et al.
Publicado: (2016)

Disrupted structural connectivity of fronto-deep gray matter pathways in progressive supranuclear palsy
por: Abos, Alexandra, et al.
Publicado: (2019)

Microstructural MRI Correlates of Cognitive Impairment in Multiple Sclerosis: The Role of Deep Gray Matter
por: Pitteri, Marco, et al.
Publicado: (2021)

EpithNet: Deep Regression for Epithelium Segmentation in Cervical Histology Images
por: Sornapudi, Sudhir, et al.
Publicado: (2020)

Segmentation and Classification of Glaucoma Using U-Net with Deep Learning Model
por: Sudhan, M. B., et al.
Publicado: (2022)

DCTR U-Net: automatic segmentation algorithm for medical images of nasopharyngeal cancer in the context of deep learning
por: Zeng, Yan, et al.
Publicado: (2023)

An automatic nuclei segmentation method based on deep convolutional neural networks for histopathology images
por: Jung, Hwejin, et al.
Publicado: (2019)

Microscopic nuclei classification, segmentation, and detection with improved deep convolutional neural networks (DCNN)
por: Alom, Zahangir, et al.
Publicado: (2022)

Detection and Weak Segmentation of Masses in Gray-Scale Breast Mammogram Images Using Deep Learning
por: Kim, Young Jae, et al.
Publicado: (2022)

Deep-Fuzz: A synergistic integration of deep learning and fuzzy water flows for fine-grained nuclei segmentation in digital pathology
por: Das, Nirmal, et al.
Publicado: (2023)

Reorganization of Synaptic Connections and Perineuronal Nets in the Deep Cerebellar Nuclei of Purkinje Cell Degeneration Mutant Mice
por: Blosa, M., et al.
Publicado: (2016)

Complete Genome Sequence of Lacticaseibacillus rhamnosus CAU 1365, Isolated from Kimchi
por: Lee, Yunjeong, et al.
Publicado: (2021)

Automatic segmentation of rectal tumor on diffusion‐weighted images by deep learning with U‐Net
por: Zhu, Hai‐Tao, et al.
Publicado: (2021)

VBM with viscous fluid registration of gray matter segments in SPM
por: Pereira, Joao M. S., et al.
Publicado: (2013)

Evaluating iron deposition in gray matter nuclei of patients with unilateral middle cerebral artery stenosis using quantitative susceptibility mapping
por: Mao, Huimin, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_r0pfmupnplb94n1fg6lkl43i28