Detection of pulmonary ground-glass opacity based on deep learning computer artificial intelligence

BACKGROUND: A deep learning computer artificial intelligence system is helpful for early identification of ground glass opacities (GGOs). METHODS: Images from the Lung Image Database Consortium and Image Database Resource Initiative (LIDC-IDRI) database were used in AlexNet and GoogLeNet to detect p...

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Detalles Bibliográficos
Autores principales: Ye, Wenjing, Gu, Wen, Guo, Xuejun, Yi, Ping, Meng, Yishuang, Han, Fengfeng, Yu, Lingwei, Chen, Yi, Zhang, Guorui, Wang, Xueting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6343356/
https://www.ncbi.nlm.nih.gov/pubmed/30670024
http://dx.doi.org/10.1186/s12938-019-0627-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6343356/
https://www.ncbi.nlm.nih.gov/pubmed/30670024
http://dx.doi.org/10.1186/s12938-019-0627-4

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