About: covid:arg/1b3ff0144b824c6a050b5524d6def8933d778868/1

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About: covid:arg/1b3ff0144b824c6a050b5524d6def8933d778868/1 Goto Sponge NotDistinct Permalink

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

Attributes	Values
type	sioca:Justification aif:I-node evidence
wasQuotedFrom	Accurate Identification of Tomograms of Lung Nodules Using CNN: Influence of the Optimizer, Preprocessing and Segmentation
sioca:supports	covid:arg/1b3ff0144b824c6a050b5524d6def8933d778868/4
aif:formDescription	On the other hand , when preprocessing and segmentation was applied , a training accuracy above 96 . 41 % and test accuracy above 94 . 71 % were achieved .
proves	covid:arg/1b3ff0144b824c6a050b5524d6def8933d778868/4
is hasSource of	nodeID://b56430940 nodeID://b57198844 nodeID://b57835528
is has evidence of	covid:arg/1b3ff0144b824c6a050b5524d6def8933d778868

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