Prediction of Obstructive Lung Disease from Chest Radiographs via Deep Learning Trained on Pulmonary Function Data

BACKGROUND: Chronic obstructive pulmonary disease (COPD), the third leading cause of death worldwide, is often underdiagnosed. PURPOSE: To develop machine learning methods to predict COPD using chest radiographs and a convolutional neural network (CNN) trained with near-concurrent pulmonary function...

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Detalles Bibliográficos
Autores principales: Schroeder, Joyce D, Bigolin Lanfredi, Ricardo, Li, Tao, Chan, Jessica, Vachet, Clement, Paine III, Robert, Srikumar, Vivek, Tasdizen, Tolga
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7801924/
https://www.ncbi.nlm.nih.gov/pubmed/33447023
http://dx.doi.org/10.2147/COPD.S279850

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7801924/
https://www.ncbi.nlm.nih.gov/pubmed/33447023
http://dx.doi.org/10.2147/COPD.S279850

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