A machine learning approach for preoperatively assessing pulmonary function with computed tomography in patients with lung cancer

BACKGROUND: It is clinically important to accurately assess the pulmonary function of patients with lung cancer, especially before surgery. This knowledge can help clinicians to monitor patients pre- and post-surgery, predict the impact of surgery on pulmonary function, and help to optimize postsurg...

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Detalles Bibliográficos
Autores principales: Meng, Hongjia, Liu, Yun, Xu, Xiaoyin, Liao, Yuting, Liang, Hengrui, Chen, Huai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006133/
https://www.ncbi.nlm.nih.gov/pubmed/36915343
http://dx.doi.org/10.21037/qims-22-70

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006133/
https://www.ncbi.nlm.nih.gov/pubmed/36915343
http://dx.doi.org/10.21037/qims-22-70

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