Different Lung Parenchyma Quantification Using Dissimilar Segmentation Software: A Multi-Center Study for COVID-19 Patients.

Camilla RisoliMarco NicolòDavide ColombiMarco MoiaFausto RapacioliPietro AnselmiEmanuele MichielettiRoberta AmbrosiniMarco Di TerlizziLuigi GrazioliCristian ColmoAngelo Di NaroMatteo Pio NataleAlessandro TombolesiAltin Adraman Domenico Tuttolomondo Costantino CosimoElisa VettiChiara Martini

Published in: Diagnostics (Basel, Switzerland) (2022)

This study provides for the first time a direct comparison between the actual gold standard, which is represented by the qualitative information described by radiologists, and novel quantitative AI-based techniques, here represented by three different commonly used lung segmentation software, underlying the importance of these specific values that in the future could be implemented as consistent prognostic and clinical course parameters.

Keyphrases

deep learning
artificial intelligence
convolutional neural network
sars cov
systematic review
high resolution
social media
mass spectrometry