Optical coherence tomography for identification of malignant pulmonary nodules based on random forest machine learning algorithm

OBJECTIVE: To explore the feasibility of using random forest (RF) machine learning algorithm in assessing normal and malignant peripheral pulmonary nodules based on in vivo endobronchial optical coherence tomography (EB-OCT). METHODS: A total of 31 patients with pulmonary nodules were admitted to De...

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Detalles Bibliográficos
Autores principales: Ding, Ming, Pan, Shi-yu, Huang, Jing, Yuan, Cheng, Zhang, Qiang, Zhu, Xiao-li, Cai, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8719667/
https://www.ncbi.nlm.nih.gov/pubmed/34971557
http://dx.doi.org/10.1371/journal.pone.0260600

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8719667/
https://www.ncbi.nlm.nih.gov/pubmed/34971557
http://dx.doi.org/10.1371/journal.pone.0260600

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