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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Foilsithe in:Insights Imaging
Main Authors: Montagnon, Emmanuel, Cerny, Milena, Cadrin-Chênevert, Alexandre, Hamilton, Vincent, Derennes, Thomas, Ilinca, André, Vandenbroucke-Menu, Franck, Turcotte, Simon, Kadoury, Samuel, Tang, An
Formáid: Artigo
Teanga:Inglês
Foilsithe: Springer Berlin Heidelberg 2020
Ábhair:
Educational Review
Rochtain Ar Líne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7010882/
https://ncbi.nlm.nih.gov/pubmed/32040647
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13244-019-0832-5
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