Cargando…
ResGNet-C: A graph convolutional neural network for detection of COVID-19
The widely spreading COVID-19 has caused thousands of hundreds of mortalities over the world in the past few months. Early diagnosis of the virus is of great significance for both of infected patients and doctors providing treatments. Chest Computerized tomography (CT) screening is one of the most s...
Autores principales: | Yu, Xiang, Lu, Siyuan, Guo, Lili, Wang, Shui-Hua, Zhang, Yu-Dong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7772101/ https://www.ncbi.nlm.nih.gov/pubmed/33390662 http://dx.doi.org/10.1016/j.neucom.2020.07.144 |
Ejemplares similares
-
CGNet: A graph-knowledge embedded convolutional neural network for detection of pneumonia
por: Yu, Xiang, et al.
Publicado: (2021) -
Detecting pathological brain via ResNet and randomized neural networks
por: Lu, Siyuan, et al.
Publicado: (2020) -
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) -
Cerebral Microbleed Detection via Convolutional Neural Network and Extreme Learning Machine
por: Lu, Siyuan, et al.
Publicado: (2021) -
MetalProGNet: a structure-based deep graph model for metalloprotein–ligand interaction predictions
por: Jiang, Dejun, et al.
Publicado: (2023)