Cargando…

Diagnosis of COVID-19 Pneumonia Based on Graph Convolutional Network

A three-dimensional (3D) deep learning method is proposed, which enables the rapid diagnosis of coronavirus disease 2019 (COVID-19) and thus significantly reduces the burden on radiologists and physicians. Inspired by the fact that the current chest computed tomography (CT) datasets are diversified...

Descripción completa

Detalles Bibliográficos
Autores principales:	Liang, Xiaoling, Zhang, Yuexin, Wang, Jiahong, Ye, Qing, Liu, Yanhong, Tong, Jinwu
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Medicine
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7875085/ https://www.ncbi.nlm.nih.gov/pubmed/33585511 http://dx.doi.org/10.3389/fmed.2020.612962

Ejemplares similares

Novel multi-site graph convolutional network with supervision mechanism for COVID-19 diagnosis from X-ray radiographs
por: Elazab, Ahmed, et al.
Publicado: (2022)

DEJKMDR: miRNA-disease association prediction method based on graph convolutional network
por: Gao, Shiyuan, et al.
Publicado: (2023)

Complexity-based graph convolutional neural network for epilepsy diagnosis in normal, acute, and chronic stages
por: Zheng, Shiming, et al.
Publicado: (2023)

A Principal Neighborhood Aggregation-Based Graph Convolutional Network for Pneumonia Detection
por: Guail, Akram Ali Ali, et al.
Publicado: (2022)

Graph convolutional networks: a comprehensive review
por: Zhang, Si, et al.
Publicado: (2019)

SGCN: A Graph Sparsifier Based on Graph Convolutional Networks
por: Li, Jiayu, et al.
Publicado: (2020)

Design and Assessment of Convolutional Neural Network Based Methods for Vitiligo Diagnosis
por: Zhang, Li, et al.
Publicado: (2021)

CGNet: A graph-knowledge embedded convolutional neural network for detection of pneumonia
por: Yu, Xiang, et al.
Publicado: (2021)

Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network
por: Wang, Shui-Hua, et al.
Publicado: (2021)

Cellular Network Fault Diagnosis Method Based on a Graph Convolutional Neural Network
por: Amuah, Ebenezer Ackah, et al.
Publicado: (2023)

Bearing Fault Diagnosis Method Based on Convolutional Neural Network and Knowledge Graph
por: Li, Zhibo, et al.
Publicado: (2022)

A Convolutional Neural Network and Graph Convolutional Network Based Framework for AD Classification
por: Lin, Lan, et al.
Publicado: (2023)

Predicting COVID-19 using lioness optimization algorithm and graph convolution network
por: Li, Dong, et al.
Publicado: (2023)

Intelligent Compound Fault Diagnosis of Roller Bearings Based on Deep Graph Convolutional Network
por: Chen, Caifeng, et al.
Publicado: (2023)

A Graph Convolutional Network Based on Univariate Neurodegeneration Biomarker for Alzheimer’s Disease Diagnosis
Publicado: (2023)

SARS-Net: COVID-19 detection from chest x-rays by combining graph convolutional network and convolutional neural network
por: Kumar, Aayush, et al.
Publicado: (2022)

Intelligent malware detection based on graph convolutional network
por: Li, Shanxi, et al.
Publicado: (2021)

Irregular Scene Text Detection Based on a Graph Convolutional Network
por: Zhang, Shiyu, et al.
Publicado: (2023)

Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned
por: Berrendorf, Max, et al.
Publicado: (2020)

A deep graph convolutional neural network architecture for graph classification
por: Zhou, Yuchen, et al.
Publicado: (2023)

A Hybrid Model Based on Improved Transformer and Graph Convolutional Network for COVID-19 Forecasting
por: Li, Yulan, et al.
Publicado: (2022)

Gaze Gesture Recognition by Graph Convolutional Networks
por: Shi, Lei, et al.
Publicado: (2021)

Predicting anticancer hyperfoods with graph convolutional networks
por: Gonzalez, Guadalupe, et al.
Publicado: (2021)

ResGNet-C: A graph convolutional neural network for detection of COVID-19
por: Yu, Xiang, et al.
Publicado: (2021)

A graph convolutional network for predicting COVID-19 dynamics in 190 regions/countries
por: Anno, Sumiko, et al.
Publicado: (2022)

Diagnosis of schizophrenia with functional connectome data: a graph-based convolutional neural network approach
por: Oh, Kang-Han, et al.
Publicado: (2022)

Developing Graph Convolutional Networks and Mutual Information for Arrhythmic Diagnosis Based on Multichannel ECG Signals
por: Andayeshgar, Bahare, et al.
Publicado: (2022)

Bilateral adaptive graph convolutional network on CT based Covid-19 diagnosis with uncertainty-aware consensus-assisted multiple instance learning
por: Meng, Yanda, et al.
Publicado: (2023)

Graph Convolutional Network and Convolutional Neural Network Based Method for Predicting lncRNA-Disease Associations
por: Xuan, Ping, et al.
Publicado: (2019)

DGCNN: deep convolutional generative adversarial network based convolutional neural network for diagnosis of COVID-19
por: Laddha, Saloni, et al.
Publicado: (2022)

GraphQA: protein model quality assessment using graph convolutional networks
por: Baldassarre, Federico, et al.
Publicado: (2020)

Geometric graphs from data to aid classification tasks with Graph Convolutional Networks
por: Qian, Yifan, et al.
Publicado: (2021)

Dual graph convolutional neural network for predicting chemical networks
por: Harada, Shonosuke, et al.
Publicado: (2020)

Shallow Graph Convolutional Network for Skeleton-Based Action Recognition
por: Yang, Wenjie, et al.
Publicado: (2021)

FERGCN: facial expression recognition based on graph convolution network
por: Liao, Lei, et al.
Publicado: (2022)

COVID-19 and pneumonia diagnosis from chest X-ray images using convolutional neural networks
por: Hariri, Muhab, et al.
Publicado: (2023)

Drug discovery through Covid-19 genome sequencing with siamese graph convolutional neural network
por: Pati, Soumen Kumar, et al.
Publicado: (2023)

Modeling polypharmacy side effects with graph convolutional networks
por: Zitnik, Marinka, et al.
Publicado: (2018)

Modeling students’ performance using graph convolutional networks
por: Mubarak, Ahmed A., et al.
Publicado: (2022)

Single-cell classification using graph convolutional networks
por: Wang, Tianyu, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_44r5dca2t61gten3tiet224ib5