| Property | Value |
|---|
|
?:abstract
|
-
COVID 19 pandemic has paralyzed the whole world irrespective of any discrimination To contain the infection effective testing of people plays a vital role Usually, chest X-ray image-based diagnosis using manual methods is carried out, which is not only time-consuming but also paves way for asymptomatic patients to transmit the virus at a faster pace Chest X-ray image analysis using a fully connected convolutional neural network (CNN) has been proposed in this paper to solve the purpose The fully connected CNN with two variants of convolution especially DSC has proved its efficiency in detecting COVID 19 infections © 2020 Owner/Author
|
|
is
?:annotates
of
|
|
|
?:creator
|
|
|
?:journal
|
-
ACM_Int._Conf._Proc._Ser.
|
|
?:license
|
|
|
?:publication_isRelatedTo_Disease
|
|
|
?:source
|
|
|
?:title
|
-
Covid 19 Prediction from X Ray Images Using Fully Connected Convolutional Neural Network
|
|
?:type
|
|
|
?:who_covidence_id
|
|
|
?:year
|
|
![[This page as RDF]](https://research.tib.eu/covid-19/static/rdf-icon.gif){kind=icon}