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Detection and Classification of Novel Renal Histologic Phenotypes Using Deep Neural Networks
With the advent and increased accessibility of deep neural networks (DNNs), complex properties of histologic images can be rigorously and reproducibly quantified. We used DNN-based transfer learning to analyze histologic images of periodic acid-Schiff–stained renal sections from a cohort of mice wit...
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| Gepubliceerd in: | Am J Pathol |
|---|---|
| Hoofdauteurs: | , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
American Society for Investigative Pathology
2019
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6723211/ https://ncbi.nlm.nih.gov/pubmed/31220455 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ajpath.2019.05.019 |
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