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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Xehetasun bibliografikoak
Argitaratua izan da:Radiol Cardiothorac Imaging
Egile Nagusiak: Hasenstab, Kyle A., Yuan, Nancy, Retson, Tara, Conrad, Douglas J., Kligerman, Seth, Lynch, David A., Hsiao, Albert
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Radiological Society of North America 2021
Gaiak:
Original Research
Sarrera elektronikoa: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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