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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Detalles Bibliográficos
Autores principales: Mukherjee, Lopamudra, Bui, Huu Dat, Keikhosravi, Adib, Loeffler, Agnes, Eliceiri, Kevin W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2019
Materias:
Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6910074/
https://www.ncbi.nlm.nih.gov/pubmed/31837128
http://dx.doi.org/10.1117/1.JBO.24.12.126003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6910074/
https://www.ncbi.nlm.nih.gov/pubmed/31837128
http://dx.doi.org/10.1117/1.JBO.24.12.126003

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