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Deep Learning for the Automatic Quantification of Pleural Plaques in Asbestos-Exposed Subjects.

François LaurentBaudouin Denis De SennevilleGael DournesMorgane MenantCeline GramondIsabelle ThaonBénédicte ClinPatrick BrochardAntoine GislardPascal AndujarSoizick ChammingsJustine GalletAude LacourtFleur DelvaChristophe ParisGilbert FerrettiJean-Claude PaironFrançois Laurent
Published in: International journal of environmental research and public health (2022)
AI allows a fully automated volumetric quantification of pleural plaques showing volumetric progression of PP over a five-year period. The reproducible PP volume evaluation may enable further investigations for the comprehension of the unclear relationships between pleural plaques and both respiratory function and occurrence of thoracic malignancy.
Keyphrases
  • deep learning
  • artificial intelligence
  • machine learning
  • convolutional neural network
  • risk assessment
  • high throughput
  • single cell