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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Spremljeno u:
Bibliografski detalji
Izdano u:Radiol Cardiothorac Imaging
Glavni autori: Hasenstab, Kyle A., Yuan, Nancy, Retson, Tara, Conrad, Douglas J., Kligerman, Seth, Lynch, David A., Hsiao, Albert
Format: Artigo
Jezik:Inglês
Izdano: Radiological Society of North America 2021
Teme:
Original Research
Online pristup: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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