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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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| Pubblicato in: | Insights Imaging |
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| Autori principali: | , , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer Berlin Heidelberg
2020
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| Soggetti: | |
| Accesso online: | 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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