Impact of color augmentation and tissue type in deep learning for hematoxylin and eosin image super resolution

Impact of color augmentation and tissue type in deep learning for hematoxylin and eosin image super resolution

Single image super-resolution is an important computer vision task with applications including remote sensing, medical imaging, and surveillance. Modern work on super-resolution utilizes deep learning to synthesize high resolution (HR) images from low resolution images (LR). With the increased utili...

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Bibliographic Details
Main Authors: Cyrus Manuel, Philip Zehnder, Sertan Kaya, Ruth Sullivan, Fangyao Hu
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Journal of Pathology Informatics
Subjects:
Artificial intelligence
Deep learning
Digital pathology
Generative adversarial networks
Histopathology
Image processing
Online Access:http://www.sciencedirect.com/science/article/pii/S2153353922007428

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http://www.sciencedirect.com/science/article/pii/S2153353922007428

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