PropertyValue
is ?:annotates of
?:authorAffiliation
  • [\'Artificial Intelligence Medical Center, School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China.\', \'Department of Clinical Laboratory, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.\', \'Department of Medical Research, China Medical University Hospital, Taichung, Taiwan.\', \'Department of Bioinformatics and Medical Engineering, Asia University, Taichung, Taiwan.\', \'Guangdong Provincial Key Laboratory of Fire Science and Technology, Guangzhou, China.\']
?:citedBy
  • -1
?:creator
?:doi
  • 10.1002/mp.15231
?:doi
?:hasPublicationType
?:journal
  • Medical physics
is ?:pmid of
?:pmid
?:pmid
  • 34528263
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 1.289
?:rankingScore_hIndex
  • 152
?:title
  • CARes-UNet: Content-aware residual UNet for lesion segmentation of COVID-19 from chest CT images.
?:type
?:year
  • 2021

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/34528263>
<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/34528263>
<http://purl.org/net/provenance/ns#createdBy>
Anon_1   (more)
expand all