HIGHLIGHTS
- who: Ilyes Benlala et al. from the , Bordeaux, France have published the Article: Deep Learning for the Automatic Quantification of Pleural Plaques in Asbestos-Exposed Subjects, in the Journal: (JOURNAL)
- what: The aim of this study was to validate a novel fully automated quantitative method for PP evaluation based on DL. This study shows that AI-driven quantitative measurement of pleural plaques is a reliable, fully automatic technique that can provide relevant information about pleural plaques progression in a population of retired workers previously occupationally exposed to asbestos. The authors showed significant correlations between AI . . .
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