Computed tomography-based radiomics machine learning models for prediction of histological invasiveness with sub-centimeter subsolid pulmonary nodules: a retrospective study

To improve the accuracy of preoperative diagnoses and avoid over- or undertreatment, we aimed to develop and compare computed tomography-based radiomics machine learning models for the prediction of histological invasiveness using sub-centimeter subsolid pulmonary nodules. Three predictive models ba...

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Detalles Bibliográficos
Autores principales: Zhang, Haochuan, Wang, Shixiong, Deng, Zhenkai, Li, Yangli, Yang, Yingying, Huang, He
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9838201/
https://www.ncbi.nlm.nih.gov/pubmed/36643621
http://dx.doi.org/10.7717/peerj.14559

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9838201/
https://www.ncbi.nlm.nih.gov/pubmed/36643621
http://dx.doi.org/10.7717/peerj.14559

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