About: UMLS-ChestNet: A deep convolutional neural network for radiological findings, differential diagnoses and localizations of COVID-19 in chest x-rays   Goto Sponge  NotDistinct  Permalink

An Entity of Type : owl:Thing, within Data Space : wasabi.inria.fr associated with source document(s)

AttributesValues
value
  • UMLS-ChestNet: A deep convolutional neural network for radiological findings, differential diagnoses and localizations of COVID-19 in chest x-rays
Subject
  • Zoonoses
  • Viral respiratory tract infections
  • Machine learning
  • COVID-19
  • Medical diagnosis
  • Medical terminology
  • Occupational safety and health
  • Thorax (human anatomy)
  • Computer vision
  • Projectional radiography
  • Medical mnemonics
  • Medical classification
  • Nursing classification
  • Artificial neural networks
  • Computational neuroscience
part of
is hasSource of
is resource representing a document's title of
Faceted Search & Find service v1.13.91 as of Mar 24 2020


Alternative Linked Data Documents: Sponger | ODE     Content Formats:       RDF       ODATA       Microdata      About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data]
OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software