Quantitative analysis of chest MRI images for benign malignant diagnosis of pulmonary solid nodules

BACKGROUND: In this study, we developed and validated machine learning (ML) models by combining radiomic features extracted from magnetic resonance imaging (MRI) with clinicopathological factors to assess pulmonary nodule classification for benign malignant diagnosis. METHODS: A total of 333 consecu...

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Detalles Bibliográficos
Autores principales: Yang, Bin, Gao, Yeqi, Lu, Jie, Wang, Yefu, Wu, Ren, Shen, Jie, Ren, Jialiang, Wu, Feiyun, Xu, Hai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10436991/
https://www.ncbi.nlm.nih.gov/pubmed/37601669
http://dx.doi.org/10.3389/fonc.2023.1212608

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10436991/
https://www.ncbi.nlm.nih.gov/pubmed/37601669
http://dx.doi.org/10.3389/fonc.2023.1212608

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