Evaluating the performance of a deep learning‐based computer‐aided diagnosis (DL‐CAD) system for detecting and characterizing lung nodules: Comparison with the performance of double reading by radiologists

BACKGROUND: The study was conducted to evaluate the performance of a state‐of‐the‐art commercial deep learning‐based computer‐aided diagnosis (DL‐CAD) system for detecting and characterizing pulmonary nodules. METHODS: Pulmonary nodules in 346 healthy subjects (male: female = 221:125, mean age 51 ye...

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Detalles Bibliográficos
Autores principales: Li, Li, Liu, Zhou, Huang, Hua, Lin, Meng, Luo, Dehong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons Australia, Ltd 2018
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6360226/
https://www.ncbi.nlm.nih.gov/pubmed/30536611
http://dx.doi.org/10.1111/1759-7714.12931

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6360226/
https://www.ncbi.nlm.nih.gov/pubmed/30536611
http://dx.doi.org/10.1111/1759-7714.12931

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