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Super-resolution recurrent convolutional neural networks for learning with multi-resolution whole slide images
We study a problem scenario of super-resolution (SR) algorithms in the context of whole slide imaging (WSI), a popular imaging modality in digital pathology. Instead of just one pair of high- and low-resolution images, which is typically the setup in which SR algorithms are designed, we are given mu...
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| Publicado no: | J Biomed Opt |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Society of Photo-Optical Instrumentation Engineers
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6910074/ https://ncbi.nlm.nih.gov/pubmed/31837128 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JBO.24.12.126003 |
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