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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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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

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