About: covid:PMC7253230

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An Entity of Type : owl:Thing, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
Creator	Guo, Youmin Wilson, David Fuhrman, Carl Sciurba, Frank Leader, Joseph Bandos, Andriy Du, Pang Field, Jessica Jin, Chenwang Ke, Shi Pu, Jiantao Shi, Junli Yang, Bohan Yu, Juezhao
is schema:about of	named entity 'BIOMARKERS' named entity 'ASSOCIATED WITH' named entity 'CNN' named entity 'activation map' named entity 'viral pneumonia' named entity 'CT scans' named entity 'probability' named entity 'Kappa coefficient' named entity 'COVID' named entity 'three-dimensional' named entity 'protected health information' named entity 'RT-PCR' named entity 'CT scans' named entity 'ground-glass opacity' named entity 'COVID-19' named entity 'CT scans' named entity 'COVID' named entity 'viral pneumonia' named entity 'COVID' named entity 'CT scans' named entity 'Wuhan' named entity 'CT scans' named entity 'CAP' named entity 'COVID' named entity 'COVID' named entity 'COVID' named entity 'influenza' named entity 'graphics processing unit' named entity 'COVID' named entity 'CT scans' named entity 'deep learning' named entity 'CT scans' named entity 'COVID' named entity 'pneumonia' named entity 'community-acquired pneumonia' named entity 'GPU' named entity 'COVID-19' named entity 'CAP' named entity 'CAP' named entity 'deep learning' named entity 'rectified linear unit' named entity 'chance performance' named entity 'COVID' named entity 'data augmentation' named entity 'radiologists' named entity 'batch normalization' named entity 'CT scan' named entity 'COVID-19' named entity 'convolution' named entity 'overfitting' named entity 'flu' named entity 'loss function' named entity 'deep learning' named entity 'COVID' named entity 'China' named entity 'COVID-19' named entity 'radiologists' named entity 'CNN' named entity 'COVID' named entity 'COVID-19' named entity 'CAP' named entity 'COVID' named entity 'neurons' named entity 'false negatives' named entity 'deep learning' named entity 'secondary infection' named entity 'CAP' named entity 'ground truth' named entity 'convolutional neural network' named entity 'pleural effusion' named entity 'Gaussian noises' named entity 'viral pneumonia' named entity 'radiologists' named entity 'COVID' named entity 'probability' named entity 'Batch normalization' named entity 'CAP' named entity 'deep learning' named entity 'pneumonia' named entity 'CT scans' named entity 'COVID' named entity 'reticular opacity' named entity 'CAP' named entity 'COVID' named entity 'radiologists' named entity 'lung'

Attributes

Values

Creator

Guo, Youmin
Wilson, David
Fuhrman, Carl
Sciurba, Frank
Leader, Joseph
Bandos, Andriy
Du, Pang
Field, Jessica
Jin, Chenwang
Ke, Shi
Pu, Jiantao
Shi, Junli
Yang, Bohan
Yu, Juezhao

is schema:about of

named entity 'BIOMARKERS'
named entity 'ASSOCIATED WITH'
named entity 'CNN'
named entity 'activation map'
named entity 'viral pneumonia'
named entity 'CT scans'
named entity 'probability'
named entity 'Kappa coefficient'
named entity 'COVID'
named entity 'three-dimensional'
named entity 'protected health information'
named entity 'RT-PCR'
named entity 'CT scans'
named entity 'ground-glass opacity'
named entity 'COVID-19'
named entity 'CT scans'
named entity 'COVID'
named entity 'viral pneumonia'
named entity 'COVID'
named entity 'CT scans'
named entity 'Wuhan'
named entity 'CT scans'
named entity 'CAP'
named entity 'COVID'
named entity 'COVID'
named entity 'COVID'
named entity 'influenza'
named entity 'graphics processing unit'
named entity 'COVID'
named entity 'CT scans'
named entity 'deep learning'
named entity 'CT scans'
named entity 'COVID'
named entity 'pneumonia'
named entity 'community-acquired pneumonia'
named entity 'GPU'
named entity 'COVID-19'
named entity 'CAP'
named entity 'CAP'
named entity 'deep learning'
named entity 'rectified linear unit'
named entity 'chance performance'
named entity 'COVID'
named entity 'data augmentation'
named entity 'radiologists'
named entity 'batch normalization'
named entity 'CT scan'
named entity 'COVID-19'
named entity 'convolution'
named entity 'overfitting'
named entity 'flu'
named entity 'loss function'
named entity 'deep learning'
named entity 'COVID'
named entity 'China'
named entity 'COVID-19'
named entity 'radiologists'
named entity 'CNN'
named entity 'COVID'
named entity 'COVID-19'
named entity 'CAP'
named entity 'COVID'
named entity 'neurons'
named entity 'false negatives'
named entity 'deep learning'
named entity 'secondary infection'
named entity 'CAP'
named entity 'ground truth'
named entity 'convolutional neural network'
named entity 'pleural effusion'
named entity 'Gaussian noises'
named entity 'viral pneumonia'
named entity 'radiologists'
named entity 'COVID'
named entity 'probability'
named entity 'Batch normalization'
named entity 'CAP'
named entity 'deep learning'
named entity 'pneumonia'
named entity 'CT scans'
named entity 'COVID'
named entity 'reticular opacity'
named entity 'CAP'
named entity 'COVID'
named entity 'radiologists'
named entity 'lung'

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