Cargando…

Accurate and robust segmentation of neuroanatomy in T1‐weighted MRI by combining spatial priors with deep convolutional neural networks

Neuroanatomical segmentation in magnetic resonance imaging (MRI) of the brain is a prerequisite for quantitative volume, thickness, and shape measurements, as well as an important intermediate step in many preprocessing pipelines. This work introduces a new highly accurate and versatile method based...

Descripción completa

Detalles Bibliográficos
Autores principales:	Novosad, Philip, Fonov, Vladimir, Collins, D. Louis
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley & Sons, Inc. 2019
Materias:	Research Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7267949/ https://www.ncbi.nlm.nih.gov/pubmed/31633863 http://dx.doi.org/10.1002/hbm.24803

Ejemplares similares

MRI and cognitive scores complement each other to accurately predict Alzheimer's dementia 2 to 7 years before clinical onset
por: Zandifar, Azar, et al.
Publicado: (2019)

Accurate Tumor Segmentation via Octave Convolution Neural Network
por: Wang, Bo, et al.
Publicado: (2021)

An Accurate and Robust Method for Spike Sorting Based on Convolutional Neural Networks
por: Li, Zhaohui, et al.
Publicado: (2020)

Convolutional Neural Networks Enable Robust Automatic Segmentation of the Rat Hippocampus in MRI After Traumatic Brain Injury
por: De Feo, Riccardo, et al.
Publicado: (2022)

Bundle geodesic convolutional neural network for diffusion-weighted imaging segmentation
por: Liu, Renfei, et al.
Publicado: (2022)

A 3D Fully Convolutional Neural Network With Top-Down Attention-Guided Refinement for Accurate and Robust Automatic Segmentation of Amygdala and Its Subnuclei
por: Liu, Yilin, et al.
Publicado: (2020)

ST-V-Net: incorporating shape prior into convolutional neural networks for proximal femur segmentation
por: Zhao, Chen, et al.
Publicado: (2021)

Multi-Scale Convolutional Neural Network for Accurate Corneal Segmentation in Early Detection of Fungal Keratitis
por: Mayya, Veena, et al.
Publicado: (2021)

Using spatial-temporal ensembles of convolutional neural networks for lumen segmentation in ureteroscopy
por: Lazo, Jorge F., et al.
Publicado: (2021)

Research on Segmentation of Brain Tumor in MRI Image Based on Convolutional Neural Network
por: Feng, Yurong, et al.
Publicado: (2022)

A sub+cortical fMRI‐based surface parcellation
por: Lewis, John D., et al.
Publicado: (2021)

Functional neuroanatomy of spatial sound processing in Alzheimer's disease
por: Golden, Hannah L., et al.
Publicado: (2016)

Robust and Accurate Mandible Segmentation on Dental CBCT Scans Affected by Metal Artifacts Using a Prior Shape Model
por: Qiu, Bingjiang, et al.
Publicado: (2021)

Neuroanatomy /
por: DeMyer, William, 1924-
Publicado: (1988)

Brain Tumor Segmentation from MRI Images Using Handcrafted Convolutional Neural Network
por: Ullah, Faizan, et al.
Publicado: (2023)

Rotation-invariant multi-contrast non-local means for MS lesion segmentation
por: Guizard, Nicolas, et al.
Publicado: (2015)

Robust and accurate quantification of biomarkers of immune cells in lung cancer micro-environment using deep convolutional neural networks
por: Aprupe, Lilija, et al.
Publicado: (2019)

Integration of spatial information in convolutional neural networks for automatic segmentation of intraoperative transrectal ultrasound images
por: Ghavami, Nooshin, et al.
Publicado: (2018)

Channel-Unet: A Spatial Channel-Wise Convolutional Neural Network for Liver and Tumors Segmentation
por: Chen, Yilong, et al.
Publicado: (2019)

Deep Convolutional Neural Networks-Based Automatic Breast Segmentation and Mass Detection in DCE-MRI
por: Jiao, Han, et al.
Publicado: (2020)

Automatic Tumor Segmentation With a Convolutional Neural Network in Multiparametric MRI: Influence of Distortion Correction
por: Bielak, Lars, et al.
Publicado: (2019)

Fully-Automated Segmentation of Nasopharyngeal Carcinoma on Dual-Sequence MRI Using Convolutional Neural Networks
por: Ye, Yufeng, et al.
Publicado: (2020)

Convolutional neural network-based segmentation can help in assessing the substantia nigra in neuromelanin MRI
por: Le Berre, Alice, et al.
Publicado: (2019)

Axial Attention Convolutional Neural Network for Brain Tumor Segmentation with Multi-Modality MRI Scans
por: Tian, Weiwei, et al.
Publicado: (2022)

Robustness of convolutional neural networks to physiological electrocardiogram noise
por: Venton, J., et al.
Publicado: (2021)

Automatic airway segmentation from computed tomography using robust and efficient 3-D convolutional neural networks
por: Garcia-Uceda, Antonio, et al.
Publicado: (2021)

Human neuroanatomy : formerly Strong and Elwyn's human neuroanatomy /
por: Strong, Oliver Smith, 1865-1951
Publicado: (1969)

Convolutional neural networks for brain tumour segmentation
por: Bhandari, Abhishta, et al.
Publicado: (2020)

Split-Attention U-Net: A Fully Convolutional Network for Robust Multi-Label Segmentation from Brain MRI
por: Lee, Minho, et al.
Publicado: (2020)

Automated segmentation of deep brain nuclei using convolutional neural networks and susceptibility weighted imaging
por: Beliveau, Vincent, et al.
Publicado: (2021)

Principles of neuroanatomy /
por: Angevine, Jay B.
Publicado: (1981)

THE ESSENTIALS OF NEUROANATOMY
Publicado: (1967)

Synopsis of Neuroanatomy
por: Arnold, Catharine A.
Publicado: (1983)

Correlative Neuroanatomy
Publicado: (1951)

Deep convolutional neural networks for accurate somatic mutation detection
por: Sahraeian, Sayed Mohammad Ebrahim, et al.
Publicado: (2019)

Cell2Grid: an efficient, spatial, and convolutional neural network-ready representation of cell segmentation data
por: Herbsthofer, Laurin, et al.
Publicado: (2022)

Computational neuroanatomy: ontology-based representation of neural components and connectivity
por: Rubin, Daniel L, et al.
Publicado: (2009)

Improving Patch-Based Convolutional Neural Networks for MRI Brain Tumor Segmentation by Leveraging Location Information
por: Kao, Po-Yu, et al.
Publicado: (2020)

Automatic segmentation of uterine endometrial cancer on multi-sequence MRI using a convolutional neural network
por: Kurata, Yasuhisa, et al.
Publicado: (2021)

Endoscopic neuroanatomy study using embalmed cadavers
por: John, Albin, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_m836dfqkceqtcvudbnsn7iru8p