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Distinction between phyllodes tumor and fibroadenoma in breast ultrasound using deep learning image analysis
PURPOSE: To evaluate the accuracy of a deep learning software (DLS) in the discrimination between phyllodes tumors (PT) and fibroadenomas (FA). METHODS: In this IRB-approved, retrospective, single-center study, we collected all ultrasound images of histologically secured PT (n = 11, 36 images) and a...
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| Gepubliceerd in: | Eur J Radiol Open |
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| Hoofdauteurs: | , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Elsevier
2018
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6154513/ https://ncbi.nlm.nih.gov/pubmed/30258856 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ejro.2018.09.002 |
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