A narrative review of deep learning applications in lung cancer research: from screening to prognostication

BACKGROUND AND OBJECTIVE: Deep learning (DL) algorithms have been developed for various tasks, including lung nodule detection on chest radiographs or lung cancer computed tomography screening, potential candidate selection in lung cancer screening, malignancy prediction for indeterminate pulmonary...

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Detalles Bibliográficos
Autores principales: Lee, Jong Hyuk, Hwang, Eui Jin, Kim, Hyungjin, Park, Chang Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9271435/
https://www.ncbi.nlm.nih.gov/pubmed/35832457
http://dx.doi.org/10.21037/tlcr-21-1012

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9271435/
https://www.ncbi.nlm.nih.gov/pubmed/35832457
http://dx.doi.org/10.21037/tlcr-21-1012

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