Benign‐malignant classification of pulmonary nodules by low‐dose spiral computerized tomography and clinical data with machine learning in opportunistic screening

BACKGROUND: Many people were found with pulmonary nodules during physical examinations. It is of great practical significance to discriminate benign and malignant nodules by using data mining technology. METHODS: The subjects' demographic data, baseline examination results, and annual follow‐up...

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Detalles Bibliográficos
Autores principales: Zheng, Yansong, Dong, Jing, Yang, Xue, Shuai, Ping, Li, Yongli, Li, Hailin, Dong, Shengyong, Gong, Yan, Liu, Miao, Zeng, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
RESEARCH ARTICLES
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10278478/
https://www.ncbi.nlm.nih.gov/pubmed/37248730
http://dx.doi.org/10.1002/cam4.5886

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10278478/
https://www.ncbi.nlm.nih.gov/pubmed/37248730
http://dx.doi.org/10.1002/cam4.5886

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