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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...
Autores principales: | Manuel, Cyrus, Zehnder, Philip, Kaya, Sertan, Sullivan, Ruth, Hu, Fangyao |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577134/ https://www.ncbi.nlm.nih.gov/pubmed/36268062 http://dx.doi.org/10.1016/j.jpi.2022.100148 |
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