Assessing the Accuracy of a Deep Learning Method to Risk Stratify Indeterminate Pulmonary Nodules

Rationale: The management of indeterminate pulmonary nodules (IPNs) remains challenging, resulting in invasive procedures and delays in diagnosis and treatment. Strategies to decrease the rate of unnecessary invasive procedures and optimize surveillance regimens are needed. Objectives: To develop an...

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Detalles Bibliográficos
Autores principales: Massion, Pierre P., Antic, Sanja, Ather, Sarim, Arteta, Carlos, Brabec, Jan, Chen, Heidi, Declerck, Jerome, Dufek, David, Hickes, William, Kadir, Timor, Kunst, Jonas, Landman, Bennett A., Munden, Reginald F., Novotny, Petr, Peschl, Heiko, Pickup, Lyndsey C., Santos, Catarina, Smith, Gary T., Talwar, Ambika, Gleeson, Fergus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Thoracic Society 2020
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7365375/
https://www.ncbi.nlm.nih.gov/pubmed/32326730
http://dx.doi.org/10.1164/rccm.201903-0505OC

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7365375/
https://www.ncbi.nlm.nih.gov/pubmed/32326730
http://dx.doi.org/10.1164/rccm.201903-0505OC

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