Development, Validation, and Comparison of Image-Based, Clinical Feature-Based and Fusion Artificial Intelligence Diagnostic Models in Differentiating Benign and Malignant Pulmonary Ground-Glass Nodules

OBJECTIVE: This study aimed to develop effective artificial intelligence (AI) diagnostic models based on CT images of pulmonary nodules only, on descriptional and quantitative clinical or image features, or on a combination of both to differentiate benign and malignant ground-glass nodules (GGNs) to...

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Detalles Bibliográficos
Autores principales: Wang, Xiang, Gao, Man, Xie, Jicai, Deng, Yanfang, Tu, Wenting, Yang, Hua, Liang, Shuang, Xu, Panlong, Zhang, Mingzi, Lu, Yang, Fu, ChiCheng, Li, Qiong, Fan, Li, Liu, Shiyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9209648/
https://www.ncbi.nlm.nih.gov/pubmed/35747810
http://dx.doi.org/10.3389/fonc.2022.892890

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9209648/
https://www.ncbi.nlm.nih.gov/pubmed/35747810
http://dx.doi.org/10.3389/fonc.2022.892890

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