Validation of a deep learning computer aided system for CT based lung nodule detection, classification, and growth rate estimation in a routine clinical population

OBJECTIVE: In this study, we evaluated a commercially available computer assisted diagnosis system (CAD). The deep learning algorithm of the CAD was trained with a lung cancer screening cohort and developed for detection, classification, quantification, and growth of actionable pulmonary nodules on...

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Detalles Bibliográficos
Autores principales: Murchison, John T., Ritchie, Gillian, Senyszak, David, Nijwening, Jeroen H., van Veenendaal, Gerben, Wakkie, Joris, van Beek, Edwin J. R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9070877/
https://www.ncbi.nlm.nih.gov/pubmed/35511758
http://dx.doi.org/10.1371/journal.pone.0266799

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9070877/
https://www.ncbi.nlm.nih.gov/pubmed/35511758
http://dx.doi.org/10.1371/journal.pone.0266799

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