About: covid:arg/8ab178427d5329bab43c76a634d9d76afdaa8846/1

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About: covid:arg/8ab178427d5329bab43c76a634d9d76afdaa8846/1 Goto Sponge NotDistinct Permalink

An Entity of Type : amo:Claim, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	sioca:Idea aif:I-node aif:KnowledgePosition_Statement claim
wasQuotedFrom	ReCoNet: Multi-level Preprocessing of Chest X-rays for COVID-19 Detection Using Convolutional Neural Networks
sioca:supports	covid:arg/8ab178427d5329bab43c76a634d9d76afdaa8846/0
aif:claimText	The immense potential of ReCoNet may be exploited in clinics for rapid and safe detection of COVID - 19 globally , in particular in the low and middle income countries where RT - PCR labs and / or kits are in a serious crisis .
proves	covid:arg/8ab178427d5329bab43c76a634d9d76afdaa8846/0
is sioca:supports of	covid:arg/8ab178427d5329bab43c76a634d9d76afdaa8846/0
is has claim of	covid:arg/8ab178427d5329bab43c76a634d9d76afdaa8846
is proves of	covid:arg/8ab178427d5329bab43c76a634d9d76afdaa8846/0

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