Deep learning workflow in radiology: a primer

Interest for deep learning in radiology has increased tremendously in the past decade due to the high achievable performance for various computer vision tasks such as detection, segmentation, classification, monitoring, and prediction. This article provides step-by-step practical guidance for conduc...

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Detalles Bibliográficos
Autores principales: Montagnon, Emmanuel, Cerny, Milena, Cadrin-Chênevert, Alexandre, Hamilton, Vincent, Derennes, Thomas, Ilinca, André, Vandenbroucke-Menu, Franck, Turcotte, Simon, Kadoury, Samuel, Tang, An
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Educational Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7010882/
https://www.ncbi.nlm.nih.gov/pubmed/32040647
http://dx.doi.org/10.1186/s13244-019-0832-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7010882/
https://www.ncbi.nlm.nih.gov/pubmed/32040647
http://dx.doi.org/10.1186/s13244-019-0832-5

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