Quantifying the incremental value of deep learning: Application to lung nodule detection

We present a case study for implementing a machine learning algorithm with an incremental value framework in the domain of lung cancer research. Machine learning methods have often been shown to be competitive with prediction models in some domains; however, implementation of these methods is in ear...

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Detalles Bibliográficos
Autores principales: Warsavage, Theodore, Xing, Fuyong, Barón, Anna E., Feser, William J., Hirsch, Erin, Miller, York E., Malkoski, Stephen, Wolf, Holly J., Wilson, David O., Ghosh, Debashis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7156089/
https://www.ncbi.nlm.nih.gov/pubmed/32287288
http://dx.doi.org/10.1371/journal.pone.0231468

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7156089/
https://www.ncbi.nlm.nih.gov/pubmed/32287288
http://dx.doi.org/10.1371/journal.pone.0231468

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