Automated CT Staging of Chronic Obstructive Pulmonary Disease Severity for Predicting Disease Progression and Mortality with a Deep Learning Convolutional Neural Network

PURPOSE: To develop a deep learning–based algorithm to stage the severity of chronic obstructive pulmonary disease (COPD) through quantification of emphysema and air trapping on CT images and to assess the ability of the proposed stages to prognosticate 5-year progression and mortality. MATERIALS AN...

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Bibliografiske detaljer
Udgivet i:Radiol Cardiothorac Imaging
Main Authors: Hasenstab, Kyle A., Yuan, Nancy, Retson, Tara, Conrad, Douglas J., Kligerman, Seth, Lynch, David A., Hsiao, Albert
Format: Artigo
Sprog:Inglês
Udgivet: Radiological Society of North America 2021
Fag:
Original Research
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8098086/
https://ncbi.nlm.nih.gov/pubmed/33969307
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/ryct.2021200477
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