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 LaurentPublished 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.