Deep Learning-Based Computed Tomography Features in Evaluating Early Screening and Risk Factors for Chronic Obstructive Pulmonary Disease

This research aimed to investigate the diagnostic effect of computed tomography (CT) images based on a deep learning double residual convolution neural network (DRCNN) model on chronic obstructive pulmonary disease (COPD) and the related risk factors for COPD. The questionnaire survey was conducted...

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Detalles Bibliográficos
Autores principales: Zhang, Changhong, Liu, Jianhua, Cao, Liang, Feng, Gaixia, Zhang, Zhihua, Ji, Mengmeng, Zhang, Yaping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9410847/
https://www.ncbi.nlm.nih.gov/pubmed/36051929
http://dx.doi.org/10.1155/2022/5951418

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9410847/
https://www.ncbi.nlm.nih.gov/pubmed/36051929
http://dx.doi.org/10.1155/2022/5951418

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