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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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| Publicado no: | Am J Pathol |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Society for Investigative Pathology
2019
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| Assuntos: | |
| Acesso em linha: | 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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