PropertyValue
is ?:annotates of
?:authorAffiliation
  • [\'Computer Science Department, University of Turin, 10149 Torino, Italy.\', \'Azienda Ospedaliera Città della Salute e della Scienza Presidio Molinette, 10126 Torino, Italy.\', \'Oncology Department, University of Turin, AOU San Luigi Gonzaga, 10043 Orbassano, Italy.\']
?:citedBy
  • -1
?:creator
?:doi
  • E693310.3390/ijerph17186933
?:doi
?:hasPublicationType
?:journal
  • International journal of environmental research and public health
is ?:pmid of
?:pmid
?:pmid
  • 32971995
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 0.735
?:rankingScore_hIndex
  • 67
?:title
  • Unveiling COVID-19 from CHEST X-Ray with Deep Learning: A Hurdles Race with Small Data.
?:type
?:year
  • 2020

Metadata

Anon_0  
<http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://purl.org/net/provenance/ns#DataItem>
<http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://www.w3.org/2004/03/trix/rdfg-1/Graph>
<http://xmlns.com/foaf/0.1/primaryTopic> <https://research.tib.eu/covid-19/entity/32971995>
<http://xmlns.com/foaf/0.1/topic> Anon_0
<http://www.ontologydesignpatterns.org/cp/owl/informationrealization.owl#realizes> <https://research.tib.eu/covid-19/data/entity/32971995>
<http://purl.org/net/provenance/ns#createdBy>
Anon_1   (more)
expand all