Deep learning predicts malignancy and metastasis of solid pulmonary nodules from CT scans

In the clinic, it is difficult to distinguish the malignancy and aggressiveness of solid pulmonary nodules (PNs). Incorrect assessments may lead to delayed diagnosis and an increased risk of complications. We developed and validated a deep learning-based model for the prediction of malignancy as wel...

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Detalles Bibliográficos
Autores principales: Mu, Junhao, Kuang, Kaiming, Ao, Min, Li, Weiyi, Dai, Haiyun, Ouyang, Zubin, Li, Jingyu, Huang, Jing, Guo, Shuliang, Yang, Jiancheng, Yang, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10235703/
https://www.ncbi.nlm.nih.gov/pubmed/37275359
http://dx.doi.org/10.3389/fmed.2023.1145846

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10235703/
https://www.ncbi.nlm.nih.gov/pubmed/37275359
http://dx.doi.org/10.3389/fmed.2023.1145846

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