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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/journals/corr/abs-2012-07079>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Narinder_Singh_Punn>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Sonali_Agarwal>
foaf:homepage <https://arxiv.org/abs/2012.07079>
dc:identifier DBLP journals/corr/abs-2012-07079 (xsd:string)
dcterms:issued 2020 (xsd:gYear)
swrc:journal <https://dblp.l3s.de/d2r/resource/journals/corr>
rdfs:label CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Narinder_Singh_Punn>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Sonali_Agarwal>
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/journals/corr/abs-2012-07079/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/journals/corr/abs-2012-07079>
rdfs:seeAlso <http://dblp.uni-trier.de/db/journals/corr/corr2012.html#abs-2012-07079>
rdfs:seeAlso <https://arxiv.org/abs/2012.07079>
dc:title CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:Article
rdf:type foaf:Document
swrc:volume abs/2012.07079 (xsd:string)