Cargando…

Using Deep Convolutional Neural Networks for Neonatal Brain Image Segmentation

INTRODUCTION: Deep learning neural networks are especially potent at dealing with structured data, such as images and volumes. Both modified LiviaNET and HyperDense-Net performed well at a prior competition segmenting 6-month-old infant magnetic resonance images, but neonatal cerebral tissue type id...

Descripción completa

Detalles Bibliográficos
Autores principales:	Ding, Yang, Acosta, Rolando, Enguix, Vicente, Suffren, Sabrina, Ortmann, Janosch, Luck, David, Dolz, Jose, Lodygensky, Gregory A.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2020
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7114297/ https://www.ncbi.nlm.nih.gov/pubmed/32273836 http://dx.doi.org/10.3389/fnins.2020.00207

Ejemplares similares

NeoRS: A Neonatal Resting State fMRI Data Preprocessing Pipeline
por: Enguix, Vicente, et al.
Publicado: (2022)

Supervised machine learning quality control for magnetic resonance artifacts in neonatal data sets
por: Ding, Yang, et al.
Publicado: (2018)

Determining regional brain growth in premature and mature infants in relation to age at MRI using deep neural networks
por: Beizaee, Farzad, et al.
Publicado: (2023)

DeepBrainSeg: Automated Brain Region Segmentation for Micro-Optical Images With a Convolutional Neural Network
por: Tan, Chaozhen, et al.
Publicado: (2020)

Deep Convolutional Neural Network With a Multi-Scale Attention Feature Fusion Module for Segmentation of Multimodal Brain Tumor
por: He, Xueqin, et al.
Publicado: (2021)

Accurate segmentation of neonatal brain MRI with deep learning
por: Richter, Leonie, et al.
Publicado: (2022)

Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks With Uncertainty Estimation
por: Wang, Guotai, et al.
Publicado: (2019)

The Face Inversion Effect in Deep Convolutional Neural Networks
por: Tian, Fang, et al.
Publicado: (2022)

Hierarchical Sparse Coding of Objects in Deep Convolutional Neural Networks
por: Liu, Xingyu, et al.
Publicado: (2020)

Deep Residual Convolutional Neural Networks for Brain–Computer Interface to Visualize Neural Processing of Hand Movements in the Human Brain
por: Fujiwara, Yosuke, et al.
Publicado: (2022)

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

Training Deep Convolutional Neural Networks with Resistive Cross-Point Devices
por: Gokmen, Tayfun, et al.
Publicado: (2017)

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

Convolutional Neural Net Learning Can Achieve Production-Level Brain Segmentation in Structural Magnetic Resonance Imaging
por: Fletcher, Evan, et al.
Publicado: (2021)

Automated Training of Deep Convolutional Neural Networks for Cell Segmentation
por: Sadanandan, Sajith Kecheril, et al.
Publicado: (2017)

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

Altered resting state functional connectivity in youth with congenital heart disease operated during infancy
por: Enguix, Vincente, et al.
Publicado: (2022)

Motor Imagery EEG Signal Recognition Using Deep Convolution Neural Network
por: Xiao, Xiongliang, et al.
Publicado: (2021)

Semantic Relatedness Emerges in Deep Convolutional Neural Networks Designed for Object Recognition
por: Huang, Taicheng, et al.
Publicado: (2021)

Implementation-Independent Representation for Deep Convolutional Neural Networks and Humans in Processing Faces
por: Song, Yiying, et al.
Publicado: (2021)

An improved multi-input deep convolutional neural network for automatic emotion recognition
por: Chen, Peiji, et al.
Publicado: (2022)

The classification of brain network for major depressive disorder patients based on deep graph convolutional neural network
por: Zhu, Manyun, et al.
Publicado: (2023)

N-Net: A novel dense fully convolutional neural network for thyroid nodule segmentation
por: Nie, Xingqing, et al.
Publicado: (2022)

Application value of a deep learning method based on a 3D V-Net convolutional neural network in the recognition and segmentation of the auditory ossicles
por: Wang, Xing-Rui, et al.
Publicado: (2022)

Frontal Cortex Segmentation of Brain PET Imaging Using Deep Neural Networks
por: Zhan, Qianyi, et al.
Publicado: (2021)

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

Deep convolutional neural networks for automated segmentation of brain metastases trained on clinical data
por: Bousabarah, Khaled, et al.
Publicado: (2020)

Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks
por: Deniz, Cem M., et al.
Publicado: (2018)

Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks
por: Stember, J. N., et al.
Publicado: (2019)

Deep Hybrid Convolutional Neural Network for Segmentation of Melanoma Skin Lesion
por: Yang, Cheng-Hong, et al.
Publicado: (2021)

Corrigendum: N-Net: A novel dense fully convolutional neural network for thyroid nodule segmentation
por: Nie, Xingqing, et al.
Publicado: (2022)

Comparing Object Recognition in Humans and Deep Convolutional Neural Networks—An Eye Tracking Study
por: van Dyck, Leonard Elia, et al.
Publicado: (2021)

Environment Classification for Robotic Leg Prostheses and Exoskeletons Using Deep Convolutional Neural Networks
por: Laschowski, Brokoslaw, et al.
Publicado: (2022)

Emerged human-like facial expression representation in a deep convolutional neural network
por: Zhou, Liqin, et al.
Publicado: (2022)

Guiding visual attention in deep convolutional neural networks based on human eye movements
por: van Dyck, Leonard Elia, et al.
Publicado: (2022)

Epileptic seizure detection with deep EEG features by convolutional neural network and shallow classifiers
por: Zeng, Wei, et al.
Publicado: (2023)

Convolutional-de-convolutional neural networks for recognition of surgical workflow
por: Chen, Yu-wen, et al.
Publicado: (2022)

Knowing What You Know in Brain Segmentation Using Bayesian Deep Neural Networks
por: McClure, Patrick, et al.
Publicado: (2019)

Harmonized Segmentation of Neonatal Brain MRI
por: Grigorescu, Irina, et al.
Publicado: (2021)

A Framework for Text Classification Using Evolutionary Contiguous Convolutional Neural Network and Swarm Based Deep Neural Network
por: Prabhakar, Sunil Kumar, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_2sinh94519m89tmtoi905bp5ms