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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Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Insights Imaging
Egile Nagusiak: Montagnon, Emmanuel, Cerny, Milena, Cadrin-Chênevert, Alexandre, Hamilton, Vincent, Derennes, Thomas, Ilinca, André, Vandenbroucke-Menu, Franck, Turcotte, Simon, Kadoury, Samuel, Tang, An
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Springer Berlin Heidelberg 2020
Gaiak:
Educational Review
Sarrera elektronikoa: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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