Single image super-resolution for whole slide image using convolutional neural networks and self-supervised color normalization.

Li, Bin; Keikhosravi, Adib; Loeffler, Agnes G; Eliceiri, Kevin W

Li, Bin; Keikhosravi, Adib; Loeffler, Agnes G; Eliceiri, Kevin W.

Afiliação

Li B; Laboratory for Optical and Computational Instrumentation, Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA; Morgridge Institute for Research, Madison, WI 53706, USA.
Keikhosravi A; Laboratory for Optical and Computational Instrumentation, Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.
Loeffler AG; Department of Pathology, MetroHealth Medical Center, Cleveland, OH, USA.
Eliceiri KW; Laboratory for Optical and Computational Instrumentation, Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA; Morgridge Institute for Research, Madison, WI 53706, USA; Department of Medical Physics, University of Wisconsin-Madison, Madison, WI 53706, USA. E

Med Image Anal ; 68: 101938, 2021 02.

Article em En | MEDLINE | ID: mdl-33359932

Assuntos

Imageamento por Ressonância Magnética; Redes Neurais de Computação; Técnicas Histológicas; Humanos

Palavras-chave

Convolutional neural network; Digital pathology; Generative adversarial networks; Super-resolution

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Redes Neurais de Computação Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Med Image Anal Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

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