Development of machine learning model to predict pulmonary function with low‐dose CT‐derived parameter response mapping in a community‐based chest screening cohort

PURPOSE: To construct and evaluate the performance of a machine learning‐based low dose computed tomography (LDCT)‐derived parametric response mapping (PRM) model for predicting pulmonary function test (PFT) results. MATERIALS AND METHODS: A total of 615 subjects from a community‐based screening pop...

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Detalles Bibliográficos
Autores principales: Zhou, Xiuxiu, Pu, Yu, Zhang, Di, Guan, Yu, Lu, Yang, Zhang, Weidong, Fu, Chi‐Cheng, Fang, Qu, Zhang, Hanxiao, Liu, Shiyuan, Fan, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Medical Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647993/
https://www.ncbi.nlm.nih.gov/pubmed/37782241
http://dx.doi.org/10.1002/acm2.14171

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647993/
https://www.ncbi.nlm.nih.gov/pubmed/37782241
http://dx.doi.org/10.1002/acm2.14171

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