Highly accurate model for prediction of lung nodule malignancy with CT scans

Computed tomography (CT) examinations are commonly used to predict lung nodule malignancy in patients, which are shown to improve noninvasive early diagnosis of lung cancer. It remains challenging for computational approaches to achieve performance comparable to experienced radiologists. Here we pre...

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Detalles Bibliográficos
Autores principales: Causey, Jason L., Zhang, Junyu, Ma, Shiqian, Jiang, Bo, Qualls, Jake A., Politte, David G., Prior, Fred, Zhang, Shuzhong, Huang, Xiuzhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6006355/
https://www.ncbi.nlm.nih.gov/pubmed/29915334
http://dx.doi.org/10.1038/s41598-018-27569-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6006355/
https://www.ncbi.nlm.nih.gov/pubmed/29915334
http://dx.doi.org/10.1038/s41598-018-27569-w

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